Triple

T6668404
Position Surface form Disambiguated ID Type / Status
Subject Tarifit language E151662 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: [Tarifit language, region, Rif region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rif region
Context triple: [Tarifit 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. Ahal Region
    Ahal Region is an administrative province in south-central Turkmenistan that surrounds the capital city, Ashgabat.
  • D. 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.
  • E. Tirah region
    The Tirah region is a mountainous, historically tribal area in Pakistan’s northwest, known for its strategic location, Pashtun communities, and history of conflict and resistance.
  • 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.