Triple

T14352349
Position Surface form Disambiguated ID Type / Status
Subject Dantokpa Market E355885 entity
Predicate locatedIn P40 FINISHED
Object Littoral Department E690088 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: Littoral Department | Statement: [Dantokpa Market, locatedIn, Littoral Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littoral Department
Context triple: [Dantokpa Market, locatedIn, Littoral Department]
  • A. Sud-Est department
    The Sud-Est department is an administrative region in southeastern Haiti known for its mountainous terrain, including the country’s highest peak, and its Caribbean coastline.
  • B. Nord-Est Department
    Nord-Est Department is an administrative region in northeastern Haiti known for its border with the Dominican Republic and its coastal and agricultural areas.
  • C. Atlantique Department chosen
    Atlantique Department is an administrative region in southern Benin that includes coastal and historically significant cities such as Ouidah.
  • D. Coulouvrenière district
    The Coulouvrenière district is a historic neighborhood in Geneva, Switzerland, situated along the Rhône and known for its bridges, urban development, and former industrial and military sites.
  • E. Mamou Region
    Mamou Region is an administrative region in central Guinea known for its mountainous landscapes and role as a key transit hub between the country’s coastal and forested areas.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4ff1e48190bd9419d70098cede completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550aef908190a7ec49e409f92dc7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:14 a.m.