Triple

T23157933
Position Surface form Disambiguated ID Type / Status
Subject Lake Horace E578494 entity
Predicate municipality P852 FINISHED
Object Weare
Weare is a small town in Hillsborough County, New Hampshire, known for its rural character and outdoor recreation opportunities.
 E1575769 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: Weare | Statement: [Lake Horace, municipality, Weare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weare
Context triple: [Lake Horace, municipality, Weare]
  • A. Wearing
    Wearing is a surname most prominently associated with British conceptual artist and photographer Gillian Wearing.
  • B. Wead
    Wead is a surname most notably associated with Frank Wead, a pioneering U.S. naval aviator and screenwriter whose life inspired the film "The Wings of Eagles."
  • C. Weme
    Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
  • D. Woll
    Woll is a surname most notably borne by American actress Deborah Ann Woll, known for her roles in series like "True Blood" and "Daredevil."
  • E. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • 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: Weare
Triple: [Lake Horace, municipality, Weare]
Generated description
Weare is a small town in Hillsborough County, New Hampshire, known for its rural character and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weare
Target entity description: Weare is a small town in Hillsborough County, New Hampshire, known for its rural character and outdoor recreation opportunities.
  • A. Wearing
    Wearing is a surname most prominently associated with British conceptual artist and photographer Gillian Wearing.
  • B. Wead
    Wead is a surname most notably associated with Frank Wead, a pioneering U.S. naval aviator and screenwriter whose life inspired the film "The Wings of Eagles."
  • C. Weme
    Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
  • D. Woll
    Woll is a surname most notably borne by American actress Deborah Ann Woll, known for her roles in series like "True Blood" and "Daredevil."
  • E. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efe1b0081908e81b757d64c067c completed April 29, 2026, 4:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c309e4518819095eb3d8a6f6a0808 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c332f5ef08190ab7f6536eb719e04 completed May 19, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c374ded1c8190b1d5c7a3ab521cf9 completed May 19, 2026, 10:11 a.m.
Created at: April 17, 2026, 4:01 p.m.