Triple

T19402735
Position Surface form Disambiguated ID Type / Status
Subject Gilford E485368 entity
Predicate adjacentTo P224 FINISHED
Object Belmont
Belmont is a town in New Hampshire’s Lakes Region known for its small-town character and proximity to Lake Winnisquam and other recreational areas.
 E1374559 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: Belmont | Statement: [Gilford, adjacentTo, Belmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belmont
Context triple: [Gilford, adjacentTo, Belmont]
  • A. Belmont
    Belmont is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to Fairmount Park.
  • B. Belmont
    Belmont is a Chicago Transit Authority rapid transit station on the Blue Line serving the city's Northwest Side.
  • C. Belmont
    Belmont is a suburban residential area in the south of London, known for its quiet streets, local amenities, and proximity to green spaces.
  • D. Belmont
    Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
  • E. Belmont
    Belmont is a suburban district within the London Borough of Harrow, known for its residential character and local shopping and community facilities.
  • 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: Belmont
Triple: [Gilford, adjacentTo, Belmont]
Generated description
Belmont is a town in New Hampshire’s Lakes Region known for its small-town character and proximity to Lake Winnisquam and other recreational areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belmont
Target entity description: Belmont is a town in New Hampshire’s Lakes Region known for its small-town character and proximity to Lake Winnisquam and other recreational areas.
  • A. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • B. Belmont
    Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
  • C. Belmont
    Belmont is a village in Allegany County, New York, known for serving as the county seat and for its small-town rural character.
  • D. Belmont
    Belmont is a residential suburb located on Auckland's North Shore in New Zealand, known for its coastal proximity and local schools.
  • E. Belmont
    Belmont is a residential suburb located within the City of Greater Geelong in Victoria, Australia, known for its proximity to the Barwon River and local shopping and community facilities.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62577f808819099e74feab82b34a4 completed April 20, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b935cc4819097e1e818c86b454e completed May 15, 2026, 2:20 p.m.
NEDg Description generation batch_6a072d8a5e108190916cd22496c048cb completed May 15, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a072e3709e881909d70f130a77fc428 completed May 15, 2026, 2:31 p.m.
Created at: April 10, 2026, 1:36 p.m.