Triple
T18392448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuzlukçu |
E449766
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Tuzlukçu (town center) |
—
|
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: Tuzlukçu (town center) | Statement: [Tuzlukçu, hasCapital, Tuzlukçu (town center)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuzlukçu (town center) Context triple: [Tuzlukçu, hasCapital, Tuzlukçu (town center)]
-
A.
Tuzlukçu
chosen
Tuzlukçu is a small rural district and town in central Turkey, situated within Konya Province on the Anatolian plateau.
-
B.
Taşucu
Taşucu is a coastal town in southern Turkey known for its port on the Mediterranean Sea and ferry connections to Cyprus.
-
C.
Kuzguncuk
Kuzguncuk is a historic, picturesque neighborhood on Istanbul’s Asian shore of the Bosphorus, known for its colorful wooden houses, multicultural heritage, and village-like atmosphere.
-
D.
Buca district
Buca district is a populous residential and educational area of İzmir, Turkey, known for its large student population and urban neighborhoods.
-
E.
Söğütlü
Söğütlü is a small town and district located in Turkey’s northwestern Sakarya Province.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518435cf481908393c1eb2b4ba659 |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.