Triple
T13433130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M3 line |
E320161
|
entity |
| Predicate | interchangeStation |
P15892
|
FINISHED |
| Object | Batıkent 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: Batıkent station | Statement: [M3 line, interchangeStation, Batıkent station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batıkent station Context triple: [M3 line, interchangeStation, Batıkent station]
-
A.
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.
-
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.
Torbalı station
Torbalı station is a railway station serving the town of Torbalı in İzmir Province, Turkey, as part of the regional and commuter rail network.
-
D.
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.
-
E.
Fahrettin Altay station
Fahrettin Altay station is a major western terminus and transfer hub on the İzmir Metro system in 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba16b948190b7e753368eabf012 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:40 p.m.