Triple

T380276
Position Surface form Disambiguated ID Type / Status
Subject European Research Council E8662 entity
Predicate abbreviation P43 FINISHED
Object ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
 E48491 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: ERC | Statement: [European Research Council, abbreviation, ERC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ERC
Context triple: [European Research Council, abbreviation, ERC]
  • A. ETH
    ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
  • B. CED
    CED is an academic unit focused on the study and practice of environmental design, including fields such as architecture, landscape architecture, and urban planning.
  • C. ECR
    ECR is a European political party and parliamentary group that brings together conservative and Eurosceptic parties advocating for EU reform and national sovereignty.
  • D. MiriadaX
    MiriadaX is an online learning platform that provides Spanish-language massive open online courses (MOOCs) from universities and educational institutions across the Ibero-American region.
  • E. ECRML
    ECRML is a Council of Europe treaty aimed at protecting and promoting Europe’s regional and minority languages through legal and policy measures.
  • 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: ERC
Triple: [European Research Council, abbreviation, ERC]
Generated description
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ERC
Target entity description: The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
  • A. ETH
    ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
  • B. CED
    CED is an academic unit focused on the study and practice of environmental design, including fields such as architecture, landscape architecture, and urban planning.
  • C. ECR
    ECR is a European political party and parliamentary group that brings together conservative and Eurosceptic parties advocating for EU reform and national sovereignty.
  • D. MiriadaX
    MiriadaX is an online learning platform that provides Spanish-language massive open online courses (MOOCs) from universities and educational institutions across the Ibero-American region.
  • E. ECRML
    ECRML is a Council of Europe treaty aimed at protecting and promoting Europe’s regional and minority languages through legal and policy measures.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2c95088190a603bb1ee076ebd6 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3faffa5848190b77503516f3d0ba6 completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fb912d9881909d8eb02cdae70163 completed March 1, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69a3fd99e73c8190b5a92856ca0a4b82 completed March 1, 2026, 8:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.