Triple

T3229983
Position Surface form Disambiguated ID Type / Status
Subject Jasper High School E67714 entity
Predicate servesCommunity P82 FINISHED
Object Jasper, Indiana E67338 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: Jasper, Indiana | Statement: [Jasper High School, servesCommunity, Jasper, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasper, Indiana
Context triple: [Jasper High School, servesCommunity, Jasper, Indiana]
  • A. Jasper, Indiana, United States chosen
    Jasper, Indiana, United States, is a small city in Dubois County known for its strong German heritage, manufacturing base, and vibrant high school athletics culture.
  • B. Jacksonburg, Indiana
    Jacksonburg, Indiana is a small unincorporated rural community located in Wayne County in the eastern part of the state.
  • C. Winfield, Indiana
    Winfield, Indiana is a small suburban town in northwest Indiana known for its residential communities and proximity to the Chicago metropolitan area.
  • D. Topeka, Indiana
    Topeka, Indiana is a small Midwestern town in the United States, best known for lending its name to the later and larger city of Topeka, Kansas.
  • E. Roanoke, Indiana
    Roanoke, Indiana is a small town in Huntington County known for its proximity to Fort Wayne and its mix of rural charm and light industrial and commercial development.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb826588190a93bcfb1242310e7 completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28e9f56b881908742f2aff68b2a34 completed March 12, 2026, 9:59 a.m.
Created at: March 8, 2026, 3:08 p.m.