Triple

T12401066
Position Surface form Disambiguated ID Type / Status
Subject Chippewa Falls, Wisconsin E296252 entity
Predicate hasPark P105 FINISHED
Object Allen Park E306899 NE FINISHED

How this triple was built (2 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: Allen Park | Statement: [Chippewa Falls, Wisconsin, hasPark, Allen Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Park
Context triple: [Chippewa Falls, Wisconsin, hasPark, Allen Park]
  • A. Allen Park chosen
    Allen Park is a public recreational park located in Jamestown, New York.
  • B. Allen Park, Michigan
    Allen Park, Michigan is a suburban city in Wayne County known for its residential neighborhoods and proximity to Detroit and major automotive industry facilities.
  • C. Dearborn
    Dearborn is a city in the Detroit metropolitan area best known as the longtime headquarters of the Ford Motor Company and a historic center of the American automotive industry.
  • D. Auburn Hills, Michigan
    Auburn Hills, Michigan is a suburban city in the Detroit metropolitan area best known as a major automotive hub and the longtime home of Chrysler’s corporate headquarters.
  • E. Highland Park, Michigan
    Highland Park, Michigan is a small, historically industrial city enclave surrounded by Detroit, known for its early automotive plants and role in the development of the U.S. auto industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8be7834819085bfce037c467004 completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:55 p.m.