Triple

T17624405
Position Surface form Disambiguated ID Type / Status
Subject LTAJ E429798 entity
Predicate hasIATACode P2569 FINISHED
Object GZT NE NERFINISHED

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: GZT | Statement: [LTAJ, hasIATACode, GZT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GZT
Context triple: [LTAJ, hasIATACode, GZT]
  • A. GZT chosen
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • B. GZ
    GZ is the vehicle registration code used on license plates for the district of Günzburg in Bavaria, Germany.
  • C. GZB
    GZB is the station code for Ghaziabad Junction, a major railway hub in the Indian state of Uttar Pradesh.
  • D. GZM
    GZM is a major metropolitan area, often referring to the Upper Silesian–Zagłębie Metropolis in southern Poland, encompassing a large urban and industrial region.
  • E. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbb2a348190982658d495c81da0 completed April 19, 2026, 5:52 a.m.
Created at: April 10, 2026, 5:52 a.m.