Triple
T14677939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eskişehir |
E344696
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Tepebaşı |
E1106180
|
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: Tepebaşı | Statement: [Eskişehir, hasDistrict, Tepebaşı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tepebaşı Context triple: [Eskişehir, hasDistrict, Tepebaşı]
-
A.
Tepebaşı
chosen
Tepebaşı is a central district and urban area of Eskişehir in northwestern Turkey, known for its modern residential neighborhoods and commercial centers.
-
B.
Tepeköy
Tepeköy is a village on the island of İmroz (Gökçeada) in Turkey, known for its traditional Greek heritage and rural Aegean character.
-
C.
Savaştepe
Savaştepe is a town and district in western Turkey, located within the Marmara Region.
-
D.
Malkara
Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
-
E.
Behramkale
Behramkale is a historic village in northwestern Turkey built on the ancient site of Assos, known for its well-preserved ruins and dramatic views over the Aegean Sea.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07e355881908a2e75ccff4f0590 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:27 a.m.