Triple

T15737236
Position Surface form Disambiguated ID Type / Status
Subject South Central Wisconsin E381504 entity
Predicate containsCity P294 FINISHED
Object Fitchburg, Wisconsin E1082015 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: Fitchburg, Wisconsin | Statement: [South Central Wisconsin, containsCity, Fitchburg, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fitchburg, Wisconsin
Context triple: [South Central Wisconsin, containsCity, Fitchburg, Wisconsin]
  • A. Fitchburg, Wisconsin chosen
    Fitchburg, Wisconsin is a suburban city just south of Madison known for its blend of residential neighborhoods, business parks, and agricultural and recreational green spaces.
  • B. Farmington, Wisconsin
    Farmington, Wisconsin is a rural town in Washington County known for its agricultural landscape and small-community character in southeastern Wisconsin.
  • C. Utica, Wisconsin
    Utica, Wisconsin is a small rural town located in Winnebago County in the east-central region of the state.
  • D. Foxboro, Wisconsin
    Foxboro, Wisconsin is a small unincorporated community located in Douglas County in the northwestern part of the state.
  • E. Hartford, Wisconsin
    Hartford, Wisconsin is a small city in southeastern Wisconsin known for its manufacturing base, historic downtown, and proximity to the Kettle Moraine State Forest.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59779788190a393237f5293fe8d completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:46 a.m.