Triple
T13647636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xanthos |
E326145
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kınık |
E696152
|
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: Kınık | Statement: [Xanthos, locatedNear, Kınık]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kınık Context triple: [Xanthos, locatedNear, Kınık]
-
A.
Kınık
chosen
Kınık is a town and district in western Turkey known for its agricultural activities and location within İzmir Province.
-
B.
Kırcaali
Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
-
C.
Malkara
Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
-
D.
Kurukdere
Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
-
E.
Büyükerşen
Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b061305881909a9a9bfaa5922225 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:52 p.m.