Triple

T15578057
Position Surface form Disambiguated ID Type / Status
Subject Southport E374418 entity
Predicate hasAdjacentStation P231 FINISHED
Object Belmont
Belmont is a railway station in the United Kingdom that serves as a neighboring stop to Southport on the local rail network.
E1165827 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: [Southport, hasAdjacentStation, Belmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belmont
Context triple: [Southport, hasAdjacentStation, 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: [Southport, hasAdjacentStation, Belmont]
Generated description
Belmont is a railway station in the United Kingdom that serves as a neighboring stop to Southport on the local rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belmont
Target entity description: Belmont is a railway station in the United Kingdom that serves as a neighboring stop to Southport on the local rail network.
  • A. Belmont
    Belmont is a suburban district within the London Borough of Harrow, known for its residential character and local shopping and community facilities.
  • B. Belmont
    Belmont is a suburban residential area in the south of London, known for its quiet streets, local amenities, and proximity to green spaces.
  • C. Belmont
    Belmont is a Chicago Transit Authority rapid transit station on the Blue Line serving the city's Northwest Side.
  • D. Belmont
    Belmont is a Chicago Transit Authority 'L' station in the Lakeview neighborhood that serves as a major transfer point between the Red, Brown, and Purple Lines.
  • E. 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.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50ad13b88190adb51231ea967889 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff512549088190880a57fcf66914a8 completed May 9, 2026, 3:22 p.m.
Created at: April 10, 2026, 4:11 a.m.