Triple

T14158250
Position Surface form Disambiguated ID Type / Status
Subject Dogrib language E350867 entity
Predicate languageOf P7445 FINISHED
Object Wekweètì
Wekweètì is a small Tłı̨chǫ (Dogrib) First Nations community in the Northwest Territories of Canada.
 E1087017 NE FINISHED

How this triple was built (4 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: [Dogrib language, languageOf, Wekweètì]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wekweètì
Context triple: [Dogrib language, languageOf, Wekweètì]
  • A. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • B. Ekwulobia
    Ekwulobia is a prominent commercial town and one of the major urban centers in southeastern Nigeria.
  • C. Ekwensu
    Ekwensu is a deity in the Odinani traditional religion of the Igbo people, often associated with war, negotiation, and trickery.
  • D. 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.
  • E. Omo-Tana
    Omo-Tana is a subbranch of the Cushitic language family comprising several closely related languages spoken primarily in parts of Ethiopia, Kenya, and Somalia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wekweètì
Triple: [Dogrib language, languageOf, Wekweètì]
Generated description
Wekweètì is a small Tłı̨chǫ (Dogrib) First Nations community in the Northwest Territories of Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wekweètì
Target entity description: Wekweètì is a small Tłı̨chǫ (Dogrib) First Nations community in the Northwest Territories of Canada.
  • A. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • B. Ekwulobia
    Ekwulobia is a prominent commercial town and one of the major urban centers in southeastern Nigeria.
  • C. Ekwensu
    Ekwensu is a deity in the Odinani traditional religion of the Igbo people, often associated with war, negotiation, and trickery.
  • D. 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.
  • E. Omo-Tana
    Omo-Tana is a subbranch of the Cushitic language family comprising several closely related languages spoken primarily in parts of Ethiopia, Kenya, and Somalia.
  • F. None of above. chosen

Provenance (5 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2804956c81909409fba998a87866 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2a8d7b0c81908c80de21f7922f0a completed May 8, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69fd2b0c9b188190a7f096429aa92419 completed May 8, 2026, 12:15 a.m.
Created at: April 10, 2026, 12:58 a.m.