Triple
T18560548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaziantep Province |
E453626
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Oğuzeli |
—
|
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: Oğuzeli | Statement: [Gaziantep Province, hasDistrict, Oğuzeli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oğuzeli Context triple: [Gaziantep Province, hasDistrict, Oğuzeli]
-
A.
Oğuzeli
chosen
Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
-
B.
Korkuteli
Korkuteli is a town and district in southwestern Turkey known for its agricultural production and cooler highland climate compared to the coastal areas of Antalya Province.
-
C.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
D.
Gülveren
Gülveren is a neighborhood located within the Altındağ district of Ankara, Turkey.
-
E.
Göklen
Göklen is a Turkmen ethnic subgroup traditionally inhabiting parts of northeastern Iran and southwestern Turkmenistan, known for their distinct cultural and tribal identity.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538098a148190b0fc7098ce3c62fd |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:42 a.m.