Triple

T11787159
Position Surface form Disambiguated ID Type / Status
Subject Kew Gardens station E280299 entity
Predicate hasStationCode P1289 FINISHED
Object KWG E946491 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: KWG | Statement: [Kew Gardens station, hasStationCode, KWG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KWG
Context triple: [Kew Gardens station, hasStationCode, KWG]
  • A. KWG chosen
    KWG is the National Rail station code for Kew Gardens railway station in London, England.
  • B. KWJ
    KWJ is the IATA airport code for Gwangju Airport, a regional airport serving the city of Gwangju in South Korea.
  • C. KMGW
    KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
  • D. KBWG
    KBWG is the ICAO airport code for Bowling Green–Warren County Regional Airport in Bowling Green, Kentucky, United States.
  • E. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130e5a21881909b59e39cd96ec676 completed April 28, 2026, 10:12 p.m.
Created at: April 8, 2026, 9:42 p.m.