Triple

T14258217
Position Surface form Disambiguated ID Type / Status
Subject Tłı̨chǫ language E353438 entity
Predicate hasCommunity P2605 FINISHED
Object Wekweètì E1087017 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: Wekweètì | Statement: [Tłı̨chǫ language, hasCommunity, Wekweètì]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wekweètì
Context triple: [Tłı̨chǫ language, hasCommunity, Wekweètì]
  • A. Wekweètì chosen
    Wekweètì is a small Tłı̨chǫ (Dogrib) First Nations community in the Northwest Territories of Canada.
  • B. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • C. Ekwulobia
    Ekwulobia is a prominent commercial town and one of the major urban centers in southeastern Nigeria.
  • D. Ekwensu
    Ekwensu is a deity in the Odinani traditional religion of the Igbo people, often associated with war, negotiation, and trickery.
  • E. Wele-Nzas
    Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d150b188190a0858ab94f81d9a8 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:09 a.m.