Triple

T258707
Position Surface form Disambiguated ID Type / Status
Subject Chicago metropolitan area E5493 entity
Predicate containsCity P294 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: [Chicago metropolitan area, containsCity, Gary, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary, Indiana
Context triple: [Chicago metropolitan area, containsCity, 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. Matteson, Illinois
    Matteson, Illinois is a suburban village in the Chicago metropolitan area known for its residential communities and retail centers.
  • C. Lansing, Illinois
    Lansing, Illinois is a suburban village in the south suburbs of Chicago known for its residential character and proximity to major transportation routes.
  • D. Harvey, Illinois
    Harvey, Illinois is a small, historically industrial suburb located south of Chicago.
  • E. Springfield
    Springfield is a populous suburban community in Northern Virginia known for its major transportation junctions, shopping centers, and proximity to Washington, D.C.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a386170dac81909a5ebf631f6037ab completed March 1, 2026, 12:19 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.