Triple
T13211376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish coast |
E314500
|
entity |
| Predicate | popularResort |
P10436
|
FINISHED |
| Object | Çeşme |
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 | Statement: [Turkish coast, popularResort, Çeşme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çeşme Context triple: [Turkish coast, popularResort, Çeşme]
-
A.
Çeşme
chosen
Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
-
B.
Kuruçeşme
Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
-
C.
Bozcaada
Bozcaada is a Turkish Aegean island known for its historic castle, vineyards, and well-preserved traditional architecture.
-
D.
Datça
Datça is a picturesque coastal town and popular holiday destination on Turkey’s Datça Peninsula, known for its unspoiled beaches, clear waters, and relaxed atmosphere.
-
E.
Ksamil
Ksamil is a small coastal village in southern Albania known for its crystal-clear waters, white-sand beaches, and nearby islands, making it one of the most popular destinations on the Albanian Riviera.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.