Triple

T19402492
Position Surface form Disambiguated ID Type / Status
Subject Laconia E485363 entity
Predicate hasHighSchool P113 FINISHED
Object Laconia High School NE NERFINISHED

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: Laconia High School | Statement: [Laconia, hasHighSchool, Laconia High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laconia High School
Context triple: [Laconia, hasHighSchool, Laconia High School]
  • A. Laconia High School chosen
    Laconia High School is a public secondary school serving students in the city of Laconia in central New Hampshire.
  • B. Sparta High School
    Sparta High School is a public secondary school serving students in grades 9–12 in Sparta Township, Sussex County, New Jersey.
  • C. Sparta High School
    Sparta High School is a fictional secondary school set in the town of Sparta, Mississippi, often used as a backdrop in stories depicting small-town Southern life.
  • D. Forest High School
    Forest High School is a secondary school located in Cinderford, Gloucestershire, England.
  • E. Hawthorne High School
    Hawthorne High School is a public secondary school serving students in the city of Hawthorne in Los Angeles County, California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62577f808819099e74feab82b34a4 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.