Triple

T22338339
Position Surface form Disambiguated ID Type / Status
Subject JS Kabylie E552209 entity
Predicate city P40 FINISHED
Object Tizi Ouzou 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: Tizi Ouzou | Statement: [JS Kabylie, city, Tizi Ouzou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tizi Ouzou
Context triple: [JS Kabylie, city, Tizi Ouzou]
  • A. Tizi Ouzou chosen
    Tizi Ouzou is a major city in northern Algeria known as a cultural and economic center of the Kabylie region and the Kabyle Berber people.
  • B. Hassi Gara
    Hassi Gara is a town and commune in northern-central Algeria, situated in the Sahara Desert within Ghardaïa Province.
  • C. Sidi Bel Abbès
    Sidi Bel Abbès is a city in northwestern Algeria known as a regional economic and cultural center.
  • D. Driouch
    Driouch is a town in northeastern Morocco that serves as the capital of Driouch Province in the Oriental region.
  • E. Boulemane
    Boulemane is a town and province in northeastern Morocco known for its mountainous landscapes and location within the Middle Atlas 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1578184f481908d4ec1737a8a72d4 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.