Triple
T18392372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahırlı |
E449764
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Ahırlı (town) |
—
|
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: Ahırlı (town) | Statement: [Ahırlı, hasAdministrativeCenter, Ahırlı (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahırlı (town) Context triple: [Ahırlı, hasAdministrativeCenter, Ahırlı (town)]
-
A.
Ahırlı
chosen
Ahırlı is a small rural district and town located within Konya Province in central Turkey.
-
B.
Akçakale village
Akçakale village is a small rural settlement in northeastern Turkey situated on the shores of Lake Çıldır.
-
C.
Tavşanlı
Tavşanlı is a town and district in western Turkey known for its coal mining industry and location within Kütahya Province.
-
D.
Akçakale
Akçakale is a town and district in southeastern Turkey located on the Syrian border, known as a key border crossing and part of Şanlıurfa Province.
-
E.
Kağızman town
Kağızman town is a small settlement in northeastern Turkey’s Kars Province, known for its agricultural production and its location along the Aras River valley.
- 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.