Triple
T17493793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serik |
E425998
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Serik (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: Serik (town) | Statement: [Serik, hasAdministrativeCenter, Serik (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serik (town) Context triple: [Serik, hasAdministrativeCenter, Serik (town)]
-
A.
Serik
chosen
Serik is a town and district in Turkey’s Antalya Province, known as a gateway to nearby ancient sites and Mediterranean coastal resorts.
-
B.
Serik district
Serik district is an administrative region in Turkey’s Antalya Province, known for encompassing the ancient Greco-Roman city of Aspendos and its remarkably well-preserved Roman theatre.
-
C.
Şirinköy
Şirinköy is a village located on Gökçeada, Turkey’s largest Aegean island in the Çanakkale Province.
-
D.
Erciş
Erciş is a town and district in Turkey’s Van Province, known for its location on the northern shore of Lake Van and its role as a regional commercial and cultural center.
-
E.
Sivrice
Sivrice is a small town and district in eastern Turkey known for its location on the shores of Lake Hazar in Elazığ 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d782688190afb76fa080867315 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.