Triple

T5592353
Position Surface form Disambiguated ID Type / Status
Subject SVHS E146908 entity
Predicate servesCommunity P82 FINISHED
Object French Lick, Indiana E25680 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: French Lick, Indiana | Statement: [SVHS, servesCommunity, French Lick, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Lick, Indiana
Context triple: [SVHS, servesCommunity, French Lick, Indiana]
  • A. French Lick, Indiana, United States chosen
    French Lick, Indiana, United States, is a small Midwestern town best known as the hometown of basketball legend Larry Bird and for its historic resort and mineral springs.
  • B. Osceola, Indiana
    Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
  • C. 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.
  • D. Fountain City, Indiana
    Fountain City, Indiana is a small town in eastern Indiana known for its historic ties to the Underground Railroad and its location within Wayne County.
  • E. 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.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020bb08648190ab1f66cc3e897e6d completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a00985881909d441cfe05cb6afe completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:38 p.m.