Triple
T4498102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antalya Province |
E100748
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Serik |
E425998
|
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: Serik | Statement: [Antalya Province, contains, Serik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serik Context triple: [Antalya Province, contains, Serik]
-
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.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
C.
Turkmeneli
Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
-
D.
Kanık
Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
-
E.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c065e88190934eb0b1632d79bb |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f850824819092e518e1bd950f80 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1 p.m.