Triple
T7346970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Kurdish |
E169403
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Ilam Province |
E553678
|
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: Ilam Province | Statement: [Southern Kurdish, region, Ilam Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilam Province Context triple: [Southern Kurdish, region, Ilam Province]
-
A.
Ilam Province
chosen
Ilam Province is a mountainous, ethnically diverse region in western Iran bordering Iraq, known for its Kurdish and Lur populations and rich natural landscapes.
-
B.
Rehamna Province
Rehamna Province is an administrative division in central Morocco known for its rural communities and agricultural activities within the Marrakesh-Safi region.
-
C.
Kermanshah Province
Kermanshah Province is a western region of Iran known for its mountainous terrain in the Zagros range, rich Kurdish culture, and important archaeological sites such as the Bisotun inscription.
-
D.
Lorestan Province
Lorestan Province is a mountainous region in western Iran known for its Lur population, rich history, and scenic landscapes of the Zagros Mountains.
-
E.
Daykundi Province
Daykundi Province is a central Afghan province known for its predominantly Hazara population and mountainous terrain.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f14f308190a9e5cb76c7790e49 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83433ca8081909ab00d1fe3ab1041 |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:05 p.m.