Triple

T12690729
Position Surface form Disambiguated ID Type / Status
Subject Halkapınar E303195 entity
Predicate hasStation P35 FINISHED
Object Halkapınar tram station E1000069 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: Halkapınar tram station | Statement: [Halkapınar, hasStation, Halkapınar tram station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halkapınar tram station
Context triple: [Halkapınar, hasStation, Halkapınar tram station]
  • A. Gülhane tram station
    Gülhane tram station is a stop on Istanbul’s modern tram line located near the historic peninsula, providing convenient access to major attractions such as Gülhane Park and nearby museums.
  • B. Halkapınar railway station chosen
    Halkapınar railway station is a major rail and metro interchange in İzmir, Turkey, serving as an important hub for urban and regional transportation.
  • C. Fahrettin Altay station
    Fahrettin Altay station is a major western terminus and transfer hub on the İzmir Metro system in İzmir, Turkey.
  • D. Halkalı railway station
    Halkalı railway station is a major rail terminus in Istanbul, Turkey, serving suburban, intercity, and high-speed train services on the city’s European side.
  • E. Konak station
    Konak station is a central underground stop on the İzmir Metro system, serving as one of the main transit hubs in the heart of İzmir, Turkey.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961dabb38819087738361f9de8066 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e2292c8190bffb3a8b6e15029c completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:22 p.m.