Triple

T20677243
Position Surface form Disambiguated ID Type / Status
Subject Mount Juliet E508189 entity
Predicate hasHighSchool P113 FINISHED
Object Mount Juliet 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: Mount Juliet High School | Statement: [Mount Juliet, hasHighSchool, Mount Juliet High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Juliet High School
Context triple: [Mount Juliet, hasHighSchool, Mount Juliet High School]
  • A. Mt. Juliet High School chosen
    Mt. Juliet High School is a public secondary school serving students in the Mt. Juliet area of Wilson County, Tennessee.
  • B. Jordan High School
    Jordan High School is a public secondary school located in the Watts neighborhood of Los Angeles, California.
  • C. Tyler High School
    Tyler High School is a public secondary school located in Tyler, Texas, serving students in grades 9–12 as part of the Tyler Independent School District.
  • D. Julia Richman High School
    Julia Richman High School was a public high school in Manhattan, New York City, known for educating many notable alumni, including writer Patricia Highsmith.
  • E. Jones High School
    Jones High School is the Orlando, Florida high school attended by future NFL wide receiver and Super Bowl MVP Deion Branch.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea24f288190928f828e5f567257 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:44 a.m.