Triple

T7550211
Position Surface form Disambiguated ID Type / Status
Subject Tacenwit E178510 entity
Predicate region P40 FINISHED
Object Tipaza Province E201899 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: Tipaza Province | Statement: [Tacenwit, region, Tipaza Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tipaza Province
Context triple: [Tacenwit, region, Tipaza Province]
  • A. Tipaza Province chosen
    Tipaza Province is a coastal region in northern Algeria known for its Mediterranean shoreline, Roman archaeological sites, and diverse Berber-speaking communities.
  • B. M'Sila Province
    M'Sila Province is an inland administrative region of northern Algeria known for its semi-arid high plains and agricultural activities.
  • C. Canta Province
    Canta Province is an administrative subdivision in the highlands of central Peru, known for its Andean landscapes and rural communities within the Lima Region.
  • D. Virú Province
    Virú Province is an administrative province in northern Peru, located within the coastal La Libertad Region and known for its agricultural production and archaeological sites.
  • E. Guavio Province
    Guavio Province is an administrative subdivision of Colombia’s Cundinamarca Department, known for its mountainous terrain, hydroelectric resources, and rural Andean communities.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b35ba481908e1e5bbf329daa33 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a834d4c8190acf521fcff884109 completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:49 p.m.