Triple

T9959318
Position Surface form Disambiguated ID Type / Status
Subject First Rif War E195525 entity
Predicate hasMainTheater P5783 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: [First Rif War, hasMainTheater, Rif region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rif region
Context triple: [First Rif War, hasMainTheater, 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. Bilma region
    The Bilma region is a sparsely populated desert area in northeastern Niger, known for its historic salt caravans, oases, and role as a key stop on trans-Saharan trade routes.
  • C. Razih region
    The Razih region is a mountainous area in northwestern Yemen known for its distinct local culture and dialects, including Razihi Arabic.
  • D. Sara Province
    Sara Province is an administrative subdivision located within Bolivia's Santa Cruz Department.
  • E. Gezira region
    The Gezira region is a fertile agricultural area in east-central Sudan, renowned for its large-scale irrigated cotton and crop production between the Blue and White Nile rivers.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d08fdc8190a77b9c97830035bc completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d867b408190ab630ae4af0fb827 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:46 p.m.