Triple
T6668270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rifian |
E151659
|
entity |
| Predicate | endonym |
P1435
|
FINISHED |
| Object | Tarifit |
E28393
|
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: Tarifit | Statement: [Rifian, endonym, Tarifit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarifit Context triple: [Rifian, endonym, 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.
Tagaste
Tagaste was an ancient North African town in the Roman province of Numidia, best known as the birthplace of Saint Augustine and his mother Saint Monica.
-
D.
Tiendesitas
Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
-
E.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c4a8e48190aa3b2e41902d2f86 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79cf0e48190a69294f3b13a8372 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:02 p.m.