Triple

T7334150
Position Surface form Disambiguated ID Type / Status
Subject Highland, Indiana E169081 entity
Predicate borderedBy P224 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: [Highland, Indiana, borderedBy, Griffith, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griffith, Indiana
Context triple: [Highland, Indiana, borderedBy, 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. Elwood, Indiana
    Elwood, Indiana is a small Midwestern city best known as the birthplace of 1940 Republican presidential nominee Wendell Willkie.
  • E. 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.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c25758819095aa5041c6ecff07 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810cbd78c8190934dd5d4baa1a0a7 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:04 p.m.