Triple

T6985281
Position Surface form Disambiguated ID Type / Status
Subject Tizi Ouzou Province E161945 entity
Predicate hasCity P316 FINISHED
Object Azazga E633332 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: Azazga | Statement: [Tizi Ouzou Province, hasCity, Azazga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azazga
Context triple: [Tizi Ouzou Province, hasCity, Azazga]
  • A. Azazga chosen
    Azazga is a significant town in northern Algeria’s Kabylie region, known as a local cultural and economic center for the Amazigh (Berber) population.
  • B. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • C. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • D. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • E. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db91fbc881908c26b7b991995062 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a110ca08190be2aa78948379495 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:31 p.m.