Triple

T15011440
Position Surface form Disambiguated ID Type / Status
Subject Agra Cantonment E377845 entity
Predicate railwayStationCode P1289 FINISHED
Object AGC E429000 NE FINISHED

How this triple was built (2 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: [Agra Cantonment, railwayStationCode, AGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AGC
Context triple: [Agra Cantonment, railwayStationCode, AGC]
  • A. AGC
    AGC is a family of modern French regional multiple-unit trains built by Bombardier for versatile operation on TER networks.
  • B. AGC chosen
    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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7613cec8190ac25e3f68c5d0edf completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a7dcac8190b0153d7cdac03afa completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.