Triple

T16952723
Position Surface form Disambiguated ID Type / Status
Subject Northwest Indiana E411222 entity
Predicate hasMajorCity P316 FINISHED
Object Cedar Lake, Indiana E178960 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: Cedar Lake, Indiana | Statement: [Northwest Indiana, hasMajorCity, Cedar Lake, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Lake, Indiana
Context triple: [Northwest Indiana, hasMajorCity, Cedar Lake, Indiana]
  • A. Cedar Lake, Indiana chosen
    Cedar Lake, Indiana is a lakeside town in northwest Indiana known for its recreational waterfront, residential communities, and proximity to the Chicago metropolitan area.
  • B. Clear Lake, Indiana
    Clear Lake, Indiana is a small lakeside town in northeastern Indiana known for its recreational waterfront and quiet residential character.
  • C. Ladoga, Indiana
    Ladoga, Indiana is a small town in Montgomery County known as the birthplace of former U.S. Secretary of Agriculture Earl Butz.
  • D. Twin Lakes, Indiana
    Twin Lakes, Indiana is a historic site in Indiana known as the starting point of the 1838 Potawatomi Trail of Death forced removal.
  • E. Lake Station, Indiana
    Lake Station, Indiana is a small city in northwest Indiana that forms part of the greater Chicago metropolitan area and has a history tied to industry and transportation.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01a4ae8819085a6ce01fbc71b0f completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46213b08190b33b48d12bc795d1 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.