Triple

T11326021
Position Surface form Disambiguated ID Type / Status
Subject Lake County, Indiana E268220 entity
Predicate contains P35 FINISHED
Object Lake Station, Indiana E177105 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: Lake Station, Indiana | Statement: [Lake County, Indiana, contains, Lake Station, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Station, Indiana
Context triple: [Lake County, Indiana, contains, Lake Station, Indiana]
  • A. Lake Station, Indiana chosen
    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.
  • B. Ladoga, Indiana
    Ladoga, Indiana is a small town in Montgomery County known as the birthplace of former U.S. Secretary of Agriculture Earl Butz.
  • C. Osceola, Indiana
    Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
  • D. Cedar Lake, Indiana
    Cedar Lake, Indiana is a lakeside town in northwest Indiana known for its recreational waterfront, residential communities, and proximity to the Chicago metropolitan area.
  • E. Apalona, Indiana
    Apalona, Indiana is an unincorporated rural community located in Perry County in the southern part of the state.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525fb8d74819089d1505d1f0f116c completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.