Triple

T2136092
Position Surface form Disambiguated ID Type / Status
Subject Kanata—Carleton E46656 entity
Predicate contains P35 FINISHED
Object Carp
Carp is a village in the western part of Ottawa, Ontario, known for its rural character and the nearby Diefenbunker Cold War museum.
 E237104 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: Carp | Statement: [Kanata—Carleton, contains, Carp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carp
Context triple: [Kanata—Carleton, contains, Carp]
  • A. Cyprinus carpio
    Cyprinus carpio is the common carp, a widespread freshwater fish species important in aquaculture, angling, and ornamental varieties such as koi.
  • B. Sturgeon
    Sturgeon is a surname most prominently associated with Nicola Sturgeon, the former First Minister of Scotland and leader of the Scottish National Party.
  • C. Goldfish
    Goldfish is a popular snack brand best known for its small, fish-shaped crackers often marketed toward children.
  • D. Walleye
    The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
  • E. Alewife
    Alewife is a major subway station and transit hub in North Cambridge, Massachusetts, serving as the northern endpoint of Boston’s MBTA Red Line and a large park-and-ride facility.
  • 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: Carp
Triple: [Kanata—Carleton, contains, Carp]
Generated description
Carp is a village in the western part of Ottawa, Ontario, known for its rural character and the nearby Diefenbunker Cold War museum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carp
Target entity description: Carp is a village in the western part of Ottawa, Ontario, known for its rural character and the nearby Diefenbunker Cold War museum.
  • A. Cyprinus carpio
    Cyprinus carpio is the common carp, a widespread freshwater fish species important in aquaculture, angling, and ornamental varieties such as koi.
  • B. Sturgeon
    Sturgeon is a surname most prominently associated with Nicola Sturgeon, the former First Minister of Scotland and leader of the Scottish National Party.
  • C. Goldfish
    Goldfish is a popular snack brand best known for its small, fish-shaped crackers often marketed toward children.
  • D. Walleye
    The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
  • E. Alewife
    Alewife is a major subway station and transit hub in North Cambridge, Massachusetts, serving as the northern endpoint of Boston’s MBTA Red Line and a large park-and-ride facility.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc4ce8c81908d143d5451681e6a completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51acc0f88190a580e29d887170ec completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae5322097c81909d77d54ae258ab1a completed March 9, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ae5365cd808190aa8363b612ef0ec5 completed March 9, 2026, 4:58 a.m.
Created at: March 4, 2026, 7:44 p.m.