Triple

T9730049
Position Surface form Disambiguated ID Type / Status
Subject Owen County, Indiana E235715 entity
Predicate largestCity P235 FINISHED
Object Spencer, Indiana E880185 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: Spencer, Indiana | Statement: [Owen County, Indiana, largestCity, Spencer, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spencer, Indiana
Context triple: [Owen County, Indiana, largestCity, Spencer, Indiana]
  • A. Spencer, Indiana chosen
    Spencer, Indiana is a small Midwestern town that serves as the administrative and commercial hub of rural Owen County.
  • B. St. John, Indiana
    St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
  • C. Montpelier, Indiana
    Montpelier, Indiana is a small city in Blackford County known historically as the birthplace of Francis Avent Gumm, the father of actress Judy Garland.
  • D. Elwood, Indiana
    Elwood, Indiana is a small Midwestern city best known as the birthplace of 1940 Republican presidential nominee Wendell Willkie.
  • E. Winfield, Indiana
    Winfield, Indiana is a small suburban town in northwest Indiana known for its residential communities and proximity to the Chicago metropolitan area.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb0ff488190ac32ed304a3cd3bc completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbac7a42348190a86fa5a97e3d36ca completed April 12, 2026, 2:30 p.m.
Created at: March 30, 2026, 8:21 p.m.