Triple

T21305131
Position Surface form Disambiguated ID Type / Status
Subject Mart, Texas E525175 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Mart High School
Mart High School is a public secondary school serving students in the small Central Texas community of Mart and the surrounding area.
E1477228 NE FINISHED

How this triple was built (4 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: Mart High School | Statement: [Mart, Texas, hasEducationalInstitution, Mart High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mart High School
Context triple: [Mart, Texas, hasEducationalInstitution, Mart High School]
  • A. Hall High School
    Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
  • B. Marcus High School
    Marcus High School is a public secondary school in the Lewisville Independent School District, serving students in the Flower Mound, Texas area.
  • C. Grant High School
    Grant High School is a secondary school that serves students from the Grant Park area.
  • D. Anna High School
    Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
  • E. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mart High School
Triple: [Mart, Texas, hasEducationalInstitution, Mart High School]
Generated description
Mart High School is a public secondary school serving students in the small Central Texas community of Mart and the surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mart High School
Target entity description: Mart High School is a public secondary school serving students in the small Central Texas community of Mart and the surrounding area.
  • A. Hall High School
    Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
  • B. Marcus High School
    Marcus High School is a public secondary school in the Lewisville Independent School District, serving students in the Flower Mound, Texas area.
  • C. Grant High School
    Grant High School is a secondary school that serves students from the Grant Park area.
  • D. Anna High School
    Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
  • E. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • F. None of above. chosen

Provenance (5 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa341908190963c4368708860b8 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed32130819081479d9845d74ac3 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f69f1e08190bf96197fcf42b897 completed May 17, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a099feeda3481909d8020763f32d430 completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 4:05 p.m.