Triple

T16178942
Position Surface form Disambiguated ID Type / Status
Subject Holden HT E392636 entity
Predicate hasVariant P455 FINISHED
Object Belmont
Belmont is an Australian mid-size car model produced by Holden as an entry-level variant in its late-1960s and early-1970s lineup.
E1199896 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: [Holden HT, hasVariant, Belmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belmont
Context triple: [Holden HT, hasVariant, Belmont]
  • A. Belmont
    Belmont is a predominantly residential neighborhood in the central Bronx, New York City, historically known as the borough’s “Little Italy” for its Italian-American community and businesses.
  • B. Belmont
    Belmont is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to Fairmount Park.
  • C. Belmont
    Belmont is a suburban district within the London Borough of Harrow, known for its residential character and local shopping and community facilities.
  • D. Belmont
    Belmont is a prominent American family name historically associated with wealth, high society, and influence in finance and politics.
  • E. Belmont
    Belmont is a suburban residential area in the south of London, known for its quiet streets, local amenities, and proximity to green spaces.
  • 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: [Holden HT, hasVariant, Belmont]
Generated description
Belmont is an Australian mid-size car model produced by Holden as an entry-level variant in its late-1960s and early-1970s lineup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belmont
Target entity description: Belmont is an Australian mid-size car model produced by Holden as an entry-level variant in its late-1960s and early-1970s lineup.
  • A. Belmont
    Belmont is a residential suburb located within the City of Swan in the Perth metropolitan area of Western Australia.
  • 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 suburban district within the London Borough of Harrow, known for its residential character and local shopping and community facilities.
  • D. Belmont
    Belmont is a suburban residential area in the south of London, known for its quiet streets, local amenities, and proximity to green spaces.
  • E. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ab3108190a84fc2dfe61d5044 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefe4dc08190a6cc43a448ae6554 completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_6a0000a8a74c8190925c4140cf4a8520 completed May 10, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0004ceda8c8190a358f58f76116a7f completed May 10, 2026, 4:08 a.m.
Created at: April 10, 2026, 5:02 a.m.