Triple

T13335704
Position Surface form Disambiguated ID Type / Status
Subject Eureka, Missouri E317685 entity
Predicate hasHighSchool P113 FINISHED
Object Eureka High School
Eureka High School is a public secondary school serving students in the Eureka, Missouri area as part of the local Rockwood School District.
E1038220 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: Eureka High School | Statement: [Eureka, Missouri, hasHighSchool, Eureka High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eureka High School
Context triple: [Eureka, Missouri, hasHighSchool, Eureka High School]
  • A. Union High School
    Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
  • B. Union High School
    Union High School is a public secondary school serving students in and around La Porte City, Iowa.
  • C. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • D. Kaiapoi High School
    Kaiapoi High School is a co-educational secondary school serving the town of Kaiapoi and surrounding areas in the Canterbury region of New Zealand.
  • 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. 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: Eureka High School
Triple: [Eureka, Missouri, hasHighSchool, Eureka High School]
Generated description
Eureka High School is a public secondary school serving students in the Eureka, Missouri area as part of the local Rockwood School District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eureka High School
Target entity description: Eureka High School is a public secondary school serving students in the Eureka, Missouri area as part of the local Rockwood School District.
  • A. Union High School
    Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
  • B. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • C. Union High School
    Union High School is a public secondary school serving students in and around La Porte City, Iowa.
  • D. Kaiapoi High School
    Kaiapoi High School is a co-educational secondary school serving the town of Kaiapoi and surrounding areas in the Canterbury region of New Zealand.
  • 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. 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f730641f588190886119506e6dde8f completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7311f14988190989e319741ef0ccf completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f731e24d508190a896875210be3189 completed May 3, 2026, 11:30 a.m.
Created at: April 9, 2026, 9:30 p.m.