Triple

T13627814
Position Surface form Disambiguated ID Type / Status
Subject Seekonk E325631 entity
Predicate hasHighSchool P113 FINISHED
Object Seekonk High School
Seekonk High School is a public secondary school serving students in grades 9–12 in the town of Seekonk, Massachusetts.
E1052160 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: Seekonk High School | Statement: [Seekonk, hasHighSchool, Seekonk High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seekonk High School
Context triple: [Seekonk, hasHighSchool, Seekonk High School]
  • A. Taunton High School
    Taunton High School is a public secondary school serving students in the city of Taunton, Massachusetts.
  • B. Marblehead High School
    Marblehead High School is the public secondary school serving students in grades 9–12 in the coastal town of Marblehead, Massachusetts.
  • C. Stoneham High School
    Stoneham High School is a public secondary school serving students in the town of Stoneham, Massachusetts.
  • D. Nauset Regional High School
    Nauset Regional High School is a public secondary school serving students from several towns on Cape Cod, Massachusetts.
  • E. Whitman-Hanson Regional High School
    Whitman-Hanson Regional High School is a public secondary school serving students from the towns of Whitman and Hanson in Massachusetts.
  • 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: Seekonk High School
Triple: [Seekonk, hasHighSchool, Seekonk High School]
Generated description
Seekonk High School is a public secondary school serving students in grades 9–12 in the town of Seekonk, Massachusetts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seekonk High School
Target entity description: Seekonk High School is a public secondary school serving students in grades 9–12 in the town of Seekonk, Massachusetts.
  • A. Taunton High School
    Taunton High School is a public secondary school serving students in the city of Taunton, Massachusetts.
  • B. Marblehead High School
    Marblehead High School is the public secondary school serving students in grades 9–12 in the coastal town of Marblehead, Massachusetts.
  • C. Stoneham High School
    Stoneham High School is a public secondary school serving students in the town of Stoneham, Massachusetts.
  • D. Nauset Regional High School
    Nauset Regional High School is a public secondary school serving students from several towns on Cape Cod, Massachusetts.
  • E. Whitman-Hanson Regional High School
    Whitman-Hanson Regional High School is a public secondary school serving students from the towns of Whitman and Hanson in Massachusetts.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aeb591481909d39675a543a8b51 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd316788190a245e8199f6ac87b completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c9f543481909a0de6a0c3bb041f completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:51 p.m.