Triple

T6259761
Position Surface form Disambiguated ID Type / Status
Subject Grand Falls-Windsor E140264 entity
Predicate hasNeighbouringCommunity P4647 FINISHED
Object Badger
Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
 E580292 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: Badger | Statement: [Grand Falls-Windsor, hasNeighbouringCommunity, Badger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badger
Context triple: [Grand Falls-Windsor, hasNeighbouringCommunity, Badger]
  • A. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • B. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • C. Badger
    Badger is a British rock band best known for its early-1970s progressive rock sound and connections to members of the band Yes.
  • D. Badger
    Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
  • E. Badgers
    Badgers is the nickname for the athletic teams representing the University of Wisconsin–Madison in collegiate sports.
  • 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: Badger
Triple: [Grand Falls-Windsor, hasNeighbouringCommunity, Badger]
Generated description
Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badger
Target entity description: Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
  • A. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • B. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • C. Badger
    Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
  • D. Badger
    Badger is a British rock band best known for its early-1970s progressive rock sound and connections to members of the band Yes.
  • E. Badgers
    Badgers is the nickname for the athletic teams representing the University of Wisconsin–Madison in collegiate sports.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06383616c819090c7994740317564 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24444b85c8190adf09c473b42ea9b completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c4fb6bb9bc8190a29ae09221aa5464 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc075dd881908230bb66d1445d5a completed March 26, 2026, 9:27 a.m.
Created at: March 22, 2026, 4:24 p.m.