Triple

T6809969
Position Surface form Disambiguated ID Type / Status
Subject Ridgetown E156603 entity
Predicate nearbyUrbanCentre P36605 FINISHED
Object Chatham E582777 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: Chatham | Statement: [Ridgetown, nearbyUrbanCentre, Chatham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatham
Context triple: [Ridgetown, nearbyUrbanCentre, Chatham]
  • A. Chatham
    Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
  • B. Chatham
    Chatham is a historic town in Kent, England, best known for its former Royal Navy dockyard and maritime heritage.
  • C. Chatham
    Chatham is a residential neighborhood on Chicago’s South Side known for its historic African American middle-class community and strong local institutions.
  • D. Chatham chosen
    Chatham is a city in southwestern Ontario, Canada, known historically as a manufacturing and agricultural hub and now part of the municipality of Chatham-Kent.
  • E. Fairhaven
    Fairhaven is a historic coastal town in southeastern Massachusetts known for its picturesque harbor, rich maritime heritage, and well-preserved 19th-century architecture.
  • 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: nearbyUrbanCentre
Context triple: [Ridgetown, nearbyUrbanCentre, Chatham]
  • A. nearbyUrbanCenter chosen
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • B. administrativeCentreNearby
    Indicates that an administrative centre is located close to the referenced entity in geographic or spatial terms.
  • C. nearbyLocation
    Indicates that one location is situated close to another location in physical space.
  • D. nearbyTo
    Indicates that one entity is located close in distance or position to another entity.
  • E. hasNearestLargerSettlement
    Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
  • F. None of above.

Provenance (4 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30ded6481908fd64611607c610e completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f9926ec8190bff8d01e3ab0d0da completed March 28, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69c6d09bb4f881909bf20c188cb3e8e1 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:16 p.m.