Triple

T13584982
Position Surface form Disambiguated ID Type / Status
Subject Weeting E324526 entity
Predicate nearestTown P350 FINISHED
Object Brandon
Brandon is a small market town in Suffolk, England, known for its forestry, flint mining heritage, and location on the edge of Thetford Forest.
 E161428 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: Brandon | Statement: [Weeting, nearestTown, Brandon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brandon
Context triple: [Weeting, nearestTown, Brandon]
  • A. Brandon
    Brandon is a town in Suffolk, England, known for its location on the Breckland railway line and its surrounding Breckland heathland and forestry.
  • B. Brandon
    Brandon is a small city in eastern South Dakota that functions largely as a residential and commercial suburb of nearby Sioux Falls.
  • C. Brandon
    Brandon is a small historic town in Rutland County, Vermont, known for its classic New England charm and village center.
  • D. Brandon
    Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
  • E. Bron
    Bron is a British actress and writer known for her work in film, television, and radio since the 1960s.
  • 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: Brandon
Triple: [Weeting, nearestTown, Brandon]
Generated description
Brandon is a small market town in Suffolk, England, known for its forestry, flint mining heritage, and location on the edge of Thetford Forest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brandon
Target entity description: Brandon is a small market town in Suffolk, England, known for its forestry, flint mining heritage, and location on the edge of Thetford Forest.
  • A. Brandon
    Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
  • B. Brandon chosen
    Brandon is a town in Suffolk, England, known for its location on the Breckland railway line and its surrounding Breckland heathland and forestry.
  • C. Brandon
    Brandon is a small city in eastern South Dakota that functions largely as a residential and commercial suburb of nearby Sioux Falls.
  • D. Brandon
    Brandon is a small historic town in Rutland County, Vermont, known for its classic New England charm and village center.
  • E. Bron
    Bron is a British actress and writer known for her work in film, television, and radio since the 1960s.
  • F. None of above.

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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc148d08190821614a866d1a7f0 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77642e4b881909915c686a0d6c6fa completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f778f01700819099c3e9cbc84f29e4 completed May 3, 2026, 4:33 p.m.
Created at: April 9, 2026, 9:49 p.m.