Triple

T13251148
Position Surface form Disambiguated ID Type / Status
Subject M1 line E315531 entity
Predicate hasStation P35 FINISHED
Object Sıhhiye station E1028578 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: Sıhhiye station | Statement: [M1 line, hasStation, Sıhhiye station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sıhhiye station
Context triple: [M1 line, hasStation, Sıhhiye station]
  • A. Fahrettin Altay station
    Fahrettin Altay station is a major western terminus and transfer hub on the İzmir Metro system in İzmir, Turkey.
  • B. 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.
  • C. Sirkeci Railway Station
    Sirkeci Railway Station is a historic Istanbul terminus, best known as the former eastern endpoint of the Orient Express and a notable example of late 19th-century Ottoman Revival architecture.
  • D. Batıkent station chosen
    Batıkent station is a major Ankara Metro station serving the Batıkent district and functioning as a key hub in the city's rapid transit network.
  • E. 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.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716c6797c819090bfcc9a5b62ac1c completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:24 p.m.