Triple
T7763558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghomara language |
E176085
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Rif region |
E151657
|
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: Rif region | Statement: [Ghomara language, region, Rif region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rif region Context triple: [Ghomara language, region, Rif region]
-
A.
Rif region
chosen
The Rif region is a mountainous area in northern Morocco along the Mediterranean coast, known for its distinct Amazigh (Berber) culture and history of resistance.
-
B.
Razih region
The Razih region is a mountainous area in northwestern Yemen known for its distinct local culture and dialects, including Razihi Arabic.
-
C.
Sara Province
Sara Province is an administrative subdivision located within Bolivia's Santa Cruz Department.
-
D.
Ahal Region
Ahal Region is an administrative province in south-central Turkmenistan that surrounds the capital city, Ashgabat.
-
E.
Lori Province
Lori Province is a northern region of Armenia known for its mountainous landscapes, forests, and the city of Vanadzor as its regional center.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704061d1881909b5b42bb93d2b8a7 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7da8b848190b378f694118dfa19 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:09 p.m.