Triple
T18560545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaziantep Province |
E453626
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Nizip |
—
|
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: Nizip | Statement: [Gaziantep Province, hasDistrict, Nizip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nizip Context triple: [Gaziantep Province, hasDistrict, Nizip]
-
A.
Nizip
chosen
Nizip is a town in southeastern Turkey near the Euphrates River, known today for its proximity to the archaeological site of the ancient city of Zeugma and for its production of pistachios and olive oil.
-
B.
Niazi
Niazi is a Pashtun surname associated with the Niazi tribe of Pakistan and Afghanistan, notably borne by Pakistani politician and former cricketer Imran Khan.
-
C.
Nganzai
Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
-
D.
Nansio
Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
-
E.
Nisu
Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
- 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.