Triple
T23542961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beni Ensar |
E577804
|
entity |
| Predicate | commonlySpokenLanguage |
P7445
|
FINISHED |
| Object | Tarifit |
—
|
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: Tarifit | Statement: [Beni Ensar, commonlySpokenLanguage, Tarifit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarifit Context triple: [Beni Ensar, commonlySpokenLanguage, Tarifit]
-
A.
Tarifit
chosen
Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
-
B.
Tijarafe
Tijarafe is a small rural municipality on the northwest coast of the Canary Island of La Palma, known for its dramatic cliffs, traditional agriculture, and scenic Atlantic views.
-
C.
Tazirbu
Tazirbu is a remote oasis settlement in southeastern Libya, known for its desert environment and traditional reliance on groundwater resources.
-
D.
Pazarlar
Pazarlar is a small town and district in western Turkey known for its rural character and location within Kütahya Province.
-
E.
Tarrafas
Tarrafas is a small municipality in the interior of the Brazilian state of Ceará, known for its rural character and location within the Cariri region.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1dbe188190bc4afe7bfa7cda0f |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.