Triple

T41746
Position Surface form Disambiguated ID Type / Status
Subject Kendal Green E824 entity
Predicate town P3385 FINISHED
Object Weston E7483 NE FINISHED

How this triple was built (3 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: Weston | Statement: [Kendal Green, town, Weston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weston
Context triple: [Kendal Green, town, Weston]
  • A. Weston chosen
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • B. Westport
    Westport is a historic neighborhood and entertainment district in Kansas City, Missouri, known for its 19th-century roots, nightlife, and preserved architecture.
  • C. Middleton
    Middleton is a town in Greater Manchester, England, historically part of Lancashire and now a residential and industrial suburb of Manchester.
  • D. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • E. Westwood
    Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: town
Context triple: [Kendal Green, town, Weston]
  • A. hasTown
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • B. municipality
    Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
  • C. neighborhood
    Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
  • D. countySeat
    Indicates that one place serves as the administrative center or capital of a county.
  • E. province
    Indicates that one entity is an administrative subdivision or region (a province) governed by or belonging to another, typically larger, political or territorial entity.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24db9527c8190816b6b25c88cb2f4 completed Feb. 28, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39148b1d0819089f46f9d287a23b3 completed March 1, 2026, 1:07 a.m.
PD Predicate disambiguation batch_69a24ab8a8908190beec6da6694dd4c9 completed Feb. 28, 2026, 1:54 a.m.
PDg Predicate description generation batch_69a24db81c748190948560892f12c61b completed Feb. 28, 2026, 2:06 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.