Triple

T33793197
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Kingston upon Thames E865990 entity
Predicate hasHistoricMarketTownCentre P17485 FINISHED
Object true LITERAL FINISHED

How this triple was built (2 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: true | Statement: [London Borough of Kingston upon Thames, hasHistoricMarketTownCentre, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricMarketTownCentre
Context triple: [London Borough of Kingston upon Thames, hasHistoricMarketTownCentre, true]
  • A. hasMarketTownHistory chosen
    Indicates that an entity has a historical association with functioning as a market town or possessing recognized market-town status in the past.
  • B. containsHistoricTown
    Indicates that one entity geographically includes or encompasses a town that has recognized historical significance.
  • C. hasHistoricTownSquare
    Indicates that an entity possesses or includes a town square that is of historical significance.
  • D. hasHistoricTownRights
    Indicates that an entity possesses officially granted historic town rights, typically conferring a traditional legal or municipal status as a town.
  • E. hasHistoricCountyTownRelation
    Indicates a relationship where a town serves or has served as the historic county town (traditional administrative center) of a given county.
  • F. None of above.

Provenance (3 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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fee335cb08819097e3a0e09d5ebf49 completed May 9, 2026, 7:33 a.m.
PD Predicate disambiguation batch_69fee2c74fd88190acfc045ab07b7f6b completed May 9, 2026, 7:31 a.m.
Created at: May 1, 2026, 1:45 a.m.