Triple

T4010911
Position Surface form Disambiguated ID Type / Status
Subject Lithuanian University of Health Sciences E90640 entity
Predicate memberOf P10 FINISHED
Object World Health Organization collaborating institutions network
The World Health Organization collaborating institutions network is a global system of designated research and training centers that support WHO’s public health mission through expertise, data, and technical cooperation.
E406201 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: World Health Organization collaborating institutions network | Statement: [Lithuanian University of Health Sciences, memberOf, World Health Organization collaborating institutions network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World Health Organization collaborating institutions network
Context triple: [Lithuanian University of Health Sciences, memberOf, World Health Organization collaborating institutions network]
  • A. WHO regional office network
    The WHO regional office network is a system of geographically distributed World Health Organization offices that coordinate and implement public health policies and programs across different regions of the world.
  • B. World Health Organization
    The World Health Organization is a specialized international agency that directs and coordinates global health efforts, including disease control, health policy, and emergency response.
  • C. World Health Organization regional committee system
    The World Health Organization regional committee system is the governance framework through which WHO’s six regional offices, including the Regional Office for Africa, collectively shape health policies, strategies, and priorities for their respective regions.
  • D. World Health Organization Member States
    World Health Organization Member States are the countries that belong to the WHO and collectively commit to implementing its global health policies, standards, and legally binding regulations.
  • E. Secretariat of the World Health Organization
    The Secretariat of the World Health Organization is the administrative and technical arm of WHO, responsible for implementing its programs and policies under the leadership of the Director-General.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: World Health Organization collaborating institutions network
Triple: [Lithuanian University of Health Sciences, memberOf, World Health Organization collaborating institutions network]
Generated description
The World Health Organization collaborating institutions network is a global system of designated research and training centers that support WHO’s public health mission through expertise, data, and technical cooperation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: World Health Organization collaborating institutions network
Target entity description: The World Health Organization collaborating institutions network is a global system of designated research and training centers that support WHO’s public health mission through expertise, data, and technical cooperation.
  • A. WHO regional office network
    The WHO regional office network is a system of geographically distributed World Health Organization offices that coordinate and implement public health policies and programs across different regions of the world.
  • B. World Health Organization
    The World Health Organization is a specialized international agency that directs and coordinates global health efforts, including disease control, health policy, and emergency response.
  • C. World Health Organization regional committee system
    The World Health Organization regional committee system is the governance framework through which WHO’s six regional offices, including the Regional Office for Africa, collectively shape health policies, strategies, and priorities for their respective regions.
  • D. World Health Organization Member States
    World Health Organization Member States are the countries that belong to the WHO and collectively commit to implementing its global health policies, standards, and legally binding regulations.
  • E. Secretariat of the World Health Organization
    The Secretariat of the World Health Organization is the administrative and technical arm of WHO, responsible for implementing its programs and policies under the leadership of the Director-General.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa86c92c81908d8a610b14e22131 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c6df2e88190b6fd58bd8102d62a completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d506140819096934d30f9986866 completed March 14, 2026, 11:58 a.m.
NED2 Entity disambiguation (via description) batch_69b54ded2e6c8190a6dc9ce2f5d474b8 completed March 14, 2026, noon
Created at: March 9, 2026, 3:34 p.m.