Triple

T14556539
Position Surface form Disambiguated ID Type / Status
Subject Sétif E341555 entity
Predicate locatedIn P40 FINISHED
Object Sétif Province E644711 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: Sétif Province | Statement: [Sétif, locatedIn, Sétif Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sétif Province
Context triple: [Sétif, locatedIn, Sétif Province]
  • A. Sétif Province chosen
    Sétif Province is an inland administrative region in northeastern Algeria known for its agricultural productivity and the city of Sétif as its capital.
  • B. Boumerdès Province
    Boumerdès Province is a coastal administrative region in northern Algeria known for its Mediterranean shoreline, seismic activity, and mixed Arab-Kabyle population.
  • C. Guelma Province
    Guelma Province is an administrative region in northeastern Algeria known for its agricultural lands, Roman archaeological sites, and proximity to the city of Constantine.
  • D. Bouira Province
    Bouira Province is an administrative region in northern Algeria that lies within the traditional Kabyle area of the Tell Atlas mountains.
  • E. Béjaïa Province
    Béjaïa Province is a coastal region in northern Algeria known for its predominantly Kabyle (Amazigh) population, mountainous landscapes, and important port city of Béjaïa.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.