Triple

T17136285
Position Surface form Disambiguated ID Type / Status
Subject Michigan City Area Schools E415844 entity
Predicate hasHighSchool P113 FINISHED
Object Michigan City High School E415845 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: Michigan City High School | Statement: [Michigan City Area Schools, hasHighSchool, Michigan City High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michigan City High School
Context triple: [Michigan City Area Schools, hasHighSchool, Michigan City High School]
  • A. Michigan City High School chosen
    Michigan City High School is a public secondary school serving students in grades 9–12 in Michigan City, Indiana.
  • B. Valparaiso High School
    Valparaiso High School is a public secondary school serving students in the city of Valparaiso, Indiana.
  • C. Marquette University High School
    Marquette University High School is a private, Jesuit, college-preparatory high school for boys located in Milwaukee, Wisconsin.
  • D. Kaukauna High School
    Kaukauna High School is a public secondary school serving students in the city of Kaukauna in northeastern Wisconsin.
  • E. Madison Central High School
    Madison Central High School is a public secondary school serving students in the Madison, South Dakota 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2cf1c588190986167adcf4851b5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014150d63081908a5614f85694e57a completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.