Triple

T12590584
Position Surface form Disambiguated ID Type / Status
Subject Pampa High School E300593 entity
Predicate name P16 FINISHED
Object Pampa High School E300593 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: Pampa High School | Statement: [Pampa High School, name, Pampa High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pampa High School
Context triple: [Pampa High School, name, Pampa High School]
  • A. Pampa High School chosen
    Pampa High School is a public high school in Pampa, Texas, best known as the alma mater of former NFL linebacker Zach Thomas.
  • B. Nipomo High School
    Nipomo High School is a public secondary school serving students in the community of Nipomo, California.
  • C. Anna High School
    Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
  • D. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • E. Roy High School
    Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec2dac88190bf31bb00f93feb30 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:07 p.m.