Triple

T10331306
Position Surface form Disambiguated ID Type / Status
Subject TER Auvergne-Rhône-Alpes services E242878 entity
Predicate usesRollingStockModel P5426 FINISHED
Object AGC
AGC is a family of modern French regional multiple-unit trains built by Bombardier for versatile operation on TER networks.
E857622 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: AGC | Statement: [TER Auvergne-Rhône-Alpes services, usesRollingStockModel, AGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AGC
Context triple: [TER Auvergne-Rhône-Alpes services, usesRollingStockModel, AGC]
  • A. AGC
    AGC is an international treaty that coordinates and standardizes the main railway lines across Europe to facilitate efficient cross-border rail transport.
  • B. AGC
    AGC is the three-letter IATA airport code assigned to Allegheny County Airport near Pittsburgh, Pennsylvania.
  • C. AGC
    AGC is the abbreviation for the Adjutant General's Corps, a branch of the British Army responsible for personnel administration, career management, and support services.
  • D. AGC
    AGC is the Indian Railways station code for Agra Cantonment railway station, the main rail hub serving the city of Agra in Uttar Pradesh, India.
  • E. AGC
    AGC is the stock ticker symbol for Altimeter Growth Corp, a special purpose acquisition company (SPAC) associated with Altimeter Capital.
  • 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: AGC
Triple: [TER Auvergne-Rhône-Alpes services, usesRollingStockModel, AGC]
Generated description
AGC is a family of modern French regional multiple-unit trains built by Bombardier for versatile operation on TER networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AGC
Target entity description: AGC is a family of modern French regional multiple-unit trains built by Bombardier for versatile operation on TER networks.
  • A. AGC
    AGC is the abbreviation for the Adjutant General's Corps, a branch of the British Army responsible for personnel administration, career management, and support services.
  • B. AGC
    AGC is the Indian Railways station code for Agra Cantonment railway station, the main rail hub serving the city of Agra in Uttar Pradesh, India.
  • C. AGC
    AGC is an international treaty that coordinates and standardizes the main railway lines across Europe to facilitate efficient cross-border rail transport.
  • D. AGC
    AGC is the three-letter IATA airport code assigned to Allegheny County Airport near Pittsburgh, Pennsylvania.
  • E. AGC
    AGC is the stock ticker symbol for Altimeter Growth Corp, a special purpose acquisition company (SPAC) associated with Altimeter Capital.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fcaf4c8190bdcfcb953d88ea2f completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7504d49e88190b2739522f3ead702 completed April 9, 2026, 7:07 a.m.
NEDg Description generation batch_69d7618b0f2481908149596dc86d4593 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77015ae688190870976309e2b912b completed April 9, 2026, 9:23 a.m.
Created at: April 6, 2026, 11:52 a.m.