Triple
T22358510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halkalı–Gebze commuter rail line |
E552717
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Kaynarca 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: Kaynarca station | Statement: [Halkalı–Gebze commuter rail line, hasStation, Kaynarca station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaynarca station Context triple: [Halkalı–Gebze commuter rail line, hasStation, Kaynarca station]
-
A.
Darıca station
chosen
Darıca station is a railway stop on Istanbul’s Marmaray commuter rail network serving the Darıca district in Kocaeli Province, 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.
Koroglu station
Koroglu station is a metro station in Baku, Azerbaijan, serving as part of the city's Baku Metro rapid transit system.
-
D.
Fahrettin Altay station
Fahrettin Altay station is a major western terminus and transfer hub on the İzmir Metro system in İzmir, Turkey.
-
E.
Kargar station
Kargar station is a metro stop on Tehran’s urban rail network serving passengers along Line 6.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d1a87c8190a3e195cfbbb0d64f |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.