Triple

T9194946
Position Surface form Disambiguated ID Type / Status
Subject Forney, Texas E220680 entity
Predicate hasHighSchool P113 FINISHED
Object Forney High School E783308 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: Forney High School | Statement: [Forney, Texas, hasHighSchool, Forney High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forney High School
Context triple: [Forney, Texas, hasHighSchool, Forney High School]
  • A. Forney Independent School District
    Forney Independent School District is a public school district serving students in and around the city of Forney in Kaufman County, Texas.
  • B. North Forney High School chosen
    North Forney High School is a public secondary school serving students in the Forney Independent School District in Forney, Texas.
  • C. James Clemens High School
    James Clemens High School is a public secondary school serving students in the Madison, Alabama area.
  • D. Plano High School
    Plano High School is a public secondary school serving students in the small city of Plano, Illinois.
  • E. Bonham High School
    Bonham High School is a public secondary school serving students in the small North Texas community of Bonham.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87c3a3c8190b60f19873ef6e1f8 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d8f358819085dec73f25fd5746 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:25 p.m.