Triple

T19599065
Position Surface form Disambiguated ID Type / Status
Subject AREX airport railroad E470419 entity
Predicate hasStation P35 FINISHED
Object Geomam Station 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: Geomam Station | Statement: [AREX airport railroad, hasStation, Geomam Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geomam Station
Context triple: [AREX airport railroad, hasStation, Geomam Station]
  • A. Geomam station chosen
    Geomam station is a subway station in Incheon, South Korea, serving as part of the Incheon Subway network and connecting to other regional rail services.
  • B. Gaiemmae Station
    Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
  • C. Linheli Station
    Linheli Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
  • D. Onda Station
    Onda Station is a railway station on the Kodomonokuni Line in Yokohama, Japan, serving local commuter traffic.
  • E. Kaladar Station
    Kaladar Station is a small rural community within the township of Addington Highlands in eastern Ontario, Canada.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.