Triple

T205356
Position Surface form Disambiguated ID Type / Status
Subject WHO Regional Office for the Americas E4599 entity
Predicate alsoKnownAs P39 FINISHED
Object AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
 E26396 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: AMRO | Statement: [WHO Regional Office for the Americas, alsoKnownAs, AMRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMRO
Context triple: [WHO Regional Office for the Americas, alsoKnownAs, AMRO]
  • A. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • B. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • C. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • D. Anif
    Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
  • E. Kalorama
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • 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: AMRO
Triple: [WHO Regional Office for the Americas, alsoKnownAs, AMRO]
Generated description
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMRO
Target entity description: AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
  • A. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • B. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • C. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • D. Anif
    Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
  • E. Kalorama
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c04e42481909e957cb34dc02731 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32bc77734819095e6cf53a10aa3d8 completed Feb. 28, 2026, 5:54 p.m.
NEDg Description generation batch_69a32c29d99081908ed22bfb073ad5bd completed Feb. 28, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69a32cc49eb08190ad97fdd8ead436f7 completed Feb. 28, 2026, 5:58 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.