Triple

T11372129
Position Surface form Disambiguated ID Type / Status
Subject Monroe, Connecticut E269366 entity
Predicate hasHighSchool P113 FINISHED
Object Masuk High School
Masuk High School is a public secondary school serving students in the town of Monroe, Connecticut.
E921923 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: Masuk High School | Statement: [Monroe, Connecticut, hasHighSchool, Masuk High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masuk High School
Context triple: [Monroe, Connecticut, hasHighSchool, Masuk High School]
  • A. Anna High School
    Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
  • B. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • C. Hall High School
    Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
  • D. Andrew High School
    Andrew High School is a public secondary school in Tinley Park, Illinois, known for serving students in the southwest suburbs of Chicago.
  • 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: Masuk High School
Triple: [Monroe, Connecticut, hasHighSchool, Masuk High School]
Generated description
Masuk High School is a public secondary school serving students in the town of Monroe, Connecticut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Masuk High School
Target entity description: Masuk High School is a public secondary school serving students in the town of Monroe, Connecticut.
  • A. Anna High School
    Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
  • B. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • C. Hall High School
    Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
  • D. Andrew High School
    Andrew High School is a public secondary school in Tinley Park, Illinois, known for serving students in the southwest suburbs of Chicago.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8b196881909af9b138661e816d completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568516a481909ea66cbe53968e84 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.