Triple
T12739170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İzmir ESHOT bus network |
E304442
|
entity |
| Predicate | serviceAreaIncludes |
P82
|
FINISHED |
| Object | Narlıdere |
E304451
|
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: Narlıdere | Statement: [İzmir ESHOT bus network, serviceAreaIncludes, Narlıdere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narlıdere Context triple: [İzmir ESHOT bus network, serviceAreaIncludes, Narlıdere]
-
A.
Narlıdere
chosen
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
-
B.
Eğridere
Eğridere is a town in present-day Ardino, Bulgaria, historically home to a significant Turkish-speaking population and known as the birthplace of Turkish writer Sabahattin Ali.
-
C.
Kazlıçeşme
Kazlıçeşme is a coastal neighborhood on Istanbul’s European side, historically known for its tanneries and now a key transport and redevelopment hub.
-
D.
Ceylanpınar
Ceylanpınar is a town and district in southeastern Turkey, located on the Syrian border and known for its large state-owned agricultural enterprises.
-
E.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646cfcac81909283dca987755c0e |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb388488190a30866e9a7a0bc41 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:26 p.m.