Triple
T17047835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çeşme |
E413615
|
entity |
| Predicate | adminCenterOf |
P18611
|
FINISHED |
| Object | Çeşme District |
E413615
|
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: Çeşme District | Statement: [Çeşme, adminCenterOf, Çeşme District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çeşme District Context triple: [Çeşme, adminCenterOf, Çeşme District]
-
A.
Datça District
Datça District is an administrative district in Muğla Province, southwestern Turkey, encompassing the Datça Peninsula along the Aegean and Mediterranean coasts.
-
B.
Çeşme
chosen
Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
-
C.
Gelibolu Municipality
Gelibolu Municipality is the local government authority responsible for administering public services and urban management in the town and district of Gelibolu in Turkey.
-
D.
Adalar district
Adalar district is an island district of Istanbul, Turkey, best known for its car-free Princes’ Islands that serve as a popular leisure and tourism destination.
-
E.
Kuruçeşme
Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9f799c8190a683ae38cd990643 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233fb8d88190a9a6ef6a2f19a499 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.