Triple

T11326014
Position Surface form Disambiguated ID Type / Status
Subject Lake County, Indiana E268220 entity
Predicate contains P35 FINISHED
Object Griffith, Indiana E164791 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: Griffith, Indiana | Statement: [Lake County, Indiana, contains, Griffith, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griffith, Indiana
Context triple: [Lake County, Indiana, contains, Griffith, Indiana]
  • A. Griffith, Indiana chosen
    Griffith, Indiana is a suburban town in northwest Indiana that forms part of the Chicago metropolitan area.
  • B. Winfield, Indiana
    Winfield, Indiana is a small suburban town in northwest Indiana known for its residential communities and proximity to the Chicago metropolitan area.
  • C. Greenfield, Indiana
    Greenfield, Indiana is a small Midwestern city best known as the hometown of poet James Whitcomb Riley and as a historic community near Indianapolis.
  • D. Clifford, Indiana
    Clifford, Indiana is a small town located in the U.S. state of Indiana.
  • E. Elwood, Indiana
    Elwood, Indiana is a small Midwestern city best known as the birthplace of 1940 Republican presidential nominee Wendell Willkie.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e54318be088190b57de40a2091447d completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:32 p.m.