Triple

T16420612
Position Surface form Disambiguated ID Type / Status
Subject Fox Cities E398807 entity
Predicate hasCity P316 FINISHED
Object Fox Crossing, Wisconsin E1132444 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: Fox Crossing, Wisconsin | Statement: [Fox Cities, hasCity, Fox Crossing, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox Crossing, Wisconsin
Context triple: [Fox Cities, hasCity, Fox Crossing, Wisconsin]
  • A. Fox Crossing, Wisconsin chosen
    Fox Crossing, Wisconsin is a village in Winnebago County that forms part of the Fox Cities metropolitan area along the Fox River.
  • B. Fairchild, Wisconsin
    Fairchild, Wisconsin is a small rural village in western Wisconsin known for its agricultural surroundings and close-knit community.
  • C. La Farge, Wisconsin
    La Farge, Wisconsin is a small village in Vernon County known for its scenic setting in the Driftless Area and as the headquarters of the organic food company Organic Valley.
  • D. Hawthorne, Wisconsin
    Hawthorne, Wisconsin is a small rural town in northwestern Wisconsin known for its forests, lakes, and outdoor recreational opportunities.
  • E. Chippewa Falls, Wisconsin
    Chippewa Falls, Wisconsin is a small city in northwestern Wisconsin known for its historic lumber and brewing industries and its scenic location along the Chippewa River.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f735b08190aec8331f54817462 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.