Triple

T12615064
Position Surface form Disambiguated ID Type / Status
Subject Special Committee on Agriculture E301229 entity
Predicate hasAbbreviation P43 FINISHED
Object SCA
SCA is the abbreviation for the Special Committee on Agriculture, a key preparatory body within the Council of the European Union that handles agricultural policy issues.
 E992004 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: SCA | Statement: [Special Committee on Agriculture, hasAbbreviation, SCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCA
Context triple: [Special Committee on Agriculture, hasAbbreviation, SCA]
  • A. SCA
    SCA is the National Rail station code for Scarborough railway station in North Yorkshire, England.
  • B. SCA
    SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
  • C. SCA
    SCA is the common abbreviation for the Service Contract Act, a U.S. federal law that sets wage and benefit standards for employees working on government service contracts.
  • D. SCA
    SCA is a U.S. federal law that governs the privacy and disclosure of stored electronic communications and related data held by service providers.
  • E. SCA
    The SCA is South Africa’s highest court of appeal for non-constitutional matters, based in Bloemfontein.
  • 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: SCA
Triple: [Special Committee on Agriculture, hasAbbreviation, SCA]
Generated description
SCA is the abbreviation for the Special Committee on Agriculture, a key preparatory body within the Council of the European Union that handles agricultural policy issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCA
Target entity description: SCA is the abbreviation for the Special Committee on Agriculture, a key preparatory body within the Council of the European Union that handles agricultural policy issues.
  • A. SCA
    SCA is the commonly used abbreviation for Hay’at Qanāt as-Suways, the authority responsible for managing and operating Egypt’s Suez Canal.
  • B. SCA
    SCA is the common abbreviation for the Service Contract Act, a U.S. federal law that sets wage and benefit standards for employees working on government service contracts.
  • C. SCA
    SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
  • D. SCA
    SCA is a U.S. federal law that governs the privacy and disclosure of stored electronic communications and related data held by service providers.
  • E. SCA
    The SCA is South Africa’s highest court of appeal for non-constitutional matters, based in Bloemfontein.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c4f5b48190af76414ef678ba7c completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed2e12c819097cfd2a40116f491 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
Created at: April 9, 2026, 5:12 p.m.