Triple

T19741582
Position Surface form Disambiguated ID Type / Status
Subject Chamalières E474134 entity
Predicate adjacentTo P224 FINISHED
Object Beaumont
Beaumont is a commune in central France’s Puy-de-Dôme department, forming part of the Clermont-Ferrand urban area.
 E1393017 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: Beaumont | Statement: [Chamalières, adjacentTo, Beaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beaumont
Context triple: [Chamalières, adjacentTo, Beaumont]
  • A. Beaumont
    Beaumont is a growing city in Southern California known for its suburban communities, proximity to the San Gorgonio Pass, and role as a gateway between the Inland Empire and the Coachella Valley.
  • B. Beaumont
    Beaumont is a residential suburb on the north side of Dublin, Ireland, known for its quiet streets, local amenities, and proximity to Beaumont Hospital.
  • C. Beaumont
    Beaumont is a surname of French origin borne by various notable individuals, including English rugby union legend and administrator Bill Beaumont.
  • D. Beaumont
    Beaumont is a town located in the Condroz region of Belgium, known for its rural landscapes and historic character.
  • E. Beaumont
    Beaumont is a small suburban municipality located near Quebec City in the province of Quebec, Canada.
  • 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: Beaumont
Triple: [Chamalières, adjacentTo, Beaumont]
Generated description
Beaumont is a commune in central France’s Puy-de-Dôme department, forming part of the Clermont-Ferrand urban area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beaumont
Target entity description: Beaumont is a commune in central France’s Puy-de-Dôme department, forming part of the Clermont-Ferrand urban area.
  • A. Beaumont
    Beaumont is a growing city in Southern California known for its suburban communities, proximity to the San Gorgonio Pass, and role as a gateway between the Inland Empire and the Coachella Valley.
  • B. Beaumont
    Beaumont is a residential suburb on the north side of Dublin, Ireland, known for its quiet streets, local amenities, and proximity to Beaumont Hospital.
  • C. Beaumont
    Beaumont is a surname of French origin borne by various notable individuals, including English rugby union legend and administrator Bill Beaumont.
  • D. Beaumont
    Beaumont is a town located in the Condroz region of Belgium, known for its rural landscapes and historic character.
  • E. Beaumont
    Beaumont is a small suburban municipality located near Quebec City in the province of Quebec, Canada.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162382081909bd5a251d7da7f75 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4fd89488190a1d3b7e43f37e46f completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5a83f708190a317715bc650491b completed May 16, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_6a07b67964b481909af269c6b5db6527 completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:47 p.m.