Triple

T11429200
Position Surface form Disambiguated ID Type / Status
Subject Gary SouthShore RailCats E270834 entity
Predicate abbreviation P43 FINISHED
Object GARY 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 | Statement: [Gary SouthShore RailCats, abbreviation, GARY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GARY
Context triple: [Gary SouthShore RailCats, abbreviation, GARY]
  • 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. Gaines
    Gaines is a surname of English origin borne by various notable individuals across military, political, and cultural fields.
  • C. Wayne
    Wayne is a suburban community in Pennsylvania’s Main Line region, known for its residential neighborhoods and commuter access to Philadelphia.
  • D. Wayne
    Wayne is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • E. Wayne
    Wayne is a suburban township in Passaic County, New Jersey, known for its residential communities, shopping centers, and proximity to New York City.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c1bfb881909720c74fe0fa837f completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8d923688190bb4d61d57768e10e completed April 20, 2026, 5:25 a.m.
Created at: April 8, 2026, 9:35 p.m.