Triple

T14158248
Position Surface form Disambiguated ID Type / Status
Subject Dogrib language E350867 entity
Predicate languageOf P7445 FINISHED
Object Whatì
Whatì is a Tłı̨chǫ (Dogrib) First Nations community in the Northwest Territories of Canada, known for its strong Indigenous cultural heritage and remote subarctic setting.
 E1083824 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: Whatì | Statement: [Dogrib language, languageOf, Whatì]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whatì
Context triple: [Dogrib language, languageOf, Whatì]
  • A. Itawes
    The Itawes are an ethnolinguistic group in the northern Philippines known for their distinct Itawes language and culture centered in the Cagayan Valley region.
  • B. Issel
    Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
  • C. Isallavi
    Isallavi is a small rural village in Bolivia, best known as the birthplace of former Bolivian president Evo Morales.
  • D. Terrasini
    Terrasini is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its beaches, fishing traditions, and proximity to Palermo’s airport.
  • E. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • 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: Whatì
Triple: [Dogrib language, languageOf, Whatì]
Generated description
Whatì is a Tłı̨chǫ (Dogrib) First Nations community in the Northwest Territories of Canada, known for its strong Indigenous cultural heritage and remote subarctic setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Whatì
Target entity description: Whatì is a Tłı̨chǫ (Dogrib) First Nations community in the Northwest Territories of Canada, known for its strong Indigenous cultural heritage and remote subarctic setting.
  • A. Itawes
    The Itawes are an ethnolinguistic group in the northern Philippines known for their distinct Itawes language and culture centered in the Cagayan Valley region.
  • B. Issel
    Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
  • C. Isallavi
    Isallavi is a small rural village in Bolivia, best known as the birthplace of former Bolivian president Evo Morales.
  • D. Terrasini
    Terrasini is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its beaches, fishing traditions, and proximity to Palermo’s airport.
  • E. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • 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_69fcf7ef4d80819098d210503f5d22e9 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd02cee5e0819086718893d1621481 completed May 7, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69fd063668f4819099d52bee7e7cdc32 completed May 7, 2026, 9:37 p.m.
Created at: April 10, 2026, 12:58 a.m.