Triple

T7007604
Position Surface form Disambiguated ID Type / Status
Subject Badger, Missouri E162495 entity
Predicate hasName P744 FINISHED
Object Badger
Badger is a small unincorporated community located in Missouri, United States.
 E635984 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: [Badger, Missouri, hasName, Badger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badger
Context triple: [Badger, Missouri, hasName, 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 a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
  • E. 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.
  • 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: [Badger, Missouri, hasName, Badger]
Generated description
Badger is a small unincorporated community located in Missouri, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badger
Target entity description: Badger is a small unincorporated community located in Missouri, United States.
  • 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. Badger
    Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc36e3fc8190957445132a9ffb5f completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775612fe88190822f297f2bec6cd1 completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c777902cbc8190b24ee5e441c5607e completed March 28, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69c77807d33c8190bb3e236829f06071 completed March 28, 2026, 6:41 a.m.
Created at: March 27, 2026, 2:33 p.m.