Triple
T22358572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istanbul commuter rail network |
E552719
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Gebze 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: Gebze station | Statement: [Istanbul commuter rail network, hasStation, Gebze station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gebze station Context triple: [Istanbul commuter rail network, hasStation, Gebze station]
-
A.
Gebze station
chosen
Gebze station is a major railway hub in the city of Gebze, Turkey, serving as an important suburban and intercity stop within the Istanbul metropolitan rail network.
-
B.
Fahrettin Altay station
Fahrettin Altay station is a major western terminus and transfer hub on the İzmir Metro system in İzmir, Turkey.
-
C.
Kazlıçeşme station
Kazlıçeşme station is a major railway and commuter rail stop in Istanbul that serves as one of the key terminals on the Marmaray cross-Bosphorus rail system.
-
D.
Maltepe station
Maltepe station is a railway station in Istanbul, Turkey, serving suburban and commuter rail services on the city’s Asian side.
-
E.
Yeşilyurt station
Yeşilyurt station is a railway stop in Istanbul, Turkey, serving passengers on the city’s Marmaray commuter rail network.
- 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_69e11e4affcc8190ba7c27d29062558d |
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.