Triple

T11504084
Position Surface form Disambiguated ID Type / Status
Subject Okemos E272734 entity
Predicate hasHighSchool P113 FINISHED
Object Okemos High School E780288 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: Okemos High School | Statement: [Okemos, hasHighSchool, Okemos High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okemos High School
Context triple: [Okemos, hasHighSchool, Okemos High School]
  • A. Okemos High School chosen
    Okemos High School is a public secondary school in Okemos, Michigan, known in part for being the alma mater of actor Tom Welling.
  • B. Okemos Public Schools
    Okemos Public Schools is a public school district serving the community of Okemos, Michigan, and surrounding areas with K–12 education.
  • C. Byram Hills High School
    Byram Hills High School is a public secondary school in Armonk, New York, known for its strong academic programs and consistently high student achievement.
  • D. Finley High School
    Finley High School is a secondary education institution serving the student population of Finley and its surrounding community.
  • E. Nicolet High School
    Nicolet High School is a public high school in Glendale, Wisconsin, known for its strong academic programs and notable alumni.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db2f4b08190801de1b773932f59 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6851b0f0481909d61e343b000530b completed April 20, 2026, 7:57 p.m.
Created at: April 8, 2026, 9:36 p.m.