Triple

T1323061
Position Surface form Disambiguated ID Type / Status
Subject Royal Victoria Place E28262 entity
Predicate hasCityCentreRole P8234 FINISHED
Object primary shopping destination of Royal Tunbridge Wells 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: primary shopping destination of Royal Tunbridge Wells | Statement: [Royal Victoria Place, hasCityCentreRole, primary shopping destination of Royal Tunbridge Wells]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityCentreRole
Context triple: [Royal Victoria Place, hasCityCentreRole, primary shopping destination of Royal Tunbridge Wells]
  • A. hasCityCentreLocation
    Indicates that something is located in, or directly associated with, the central area of a city.
  • B. hasCityRole chosen
    Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
  • C. isCityCentreStop
    Indicates that a stop is located within or serves the central area of a city.
  • D. isDowntownCoreOf
    Indicates that a location constitutes the central, most urbanized and commercially dense area of a larger city or metropolitan region.
  • E. isMajorCenterOf
    Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19caa148190a1f5be734b7d9005 completed March 1, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69a4beedb49c8190beb5b85cdda05013 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.