Triple

T13904002
Position Surface form Disambiguated ID Type / Status
Subject Miller Beach E334298 entity
Predicate locatedIn P40 FINISHED
Object Gary, Indiana E10032 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: Gary, Indiana | Statement: [Miller Beach, locatedIn, Gary, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary, Indiana
Context triple: [Miller Beach, locatedIn, Gary, Indiana]
  • A. Gary, Indiana chosen
    Gary, Indiana is an industrial city in the Chicago metropolitan area historically known for its steel mills and as the birthplace of Michael Jackson and the Jackson family.
  • B. Geneva, Indiana
    Geneva, Indiana is a small town in northeastern Indiana known for its rural character and location within Adams County.
  • C. Anderson, Indiana
    Anderson, Indiana is a mid-sized city in central Indiana known historically for its automotive industry roots and as the county seat of Madison County.
  • D. Madison, Indiana
    Madison, Indiana is a historic river town on the Ohio River known for its well-preserved 19th-century architecture and vibrant small-town cultural life.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25db1e308190aaed6a21e443cc44 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31a91608190a80a69be38ac7f71 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:16 p.m.