Triple

T30645766
Position Surface form Disambiguated ID Type / Status
Subject Rolling Bridge, Paddington Basin, London E780112 entity
Predicate hasOpeningAction P83469 FINISHED
Object folds up section by section 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: folds up section by section | Statement: [Rolling Bridge, Paddington Basin, London, hasOpeningAction, folds up section by section]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpeningAction
Context triple: [Rolling Bridge, Paddington Basin, London, hasOpeningAction, folds up section by section]
  • A. hasOpening
    Indicates that one entity possesses or features an opening, gap, or entrance that allows access, passage, or exposure.
  • B. hasOpeningCondition
    Indicates that a relationship or action is subject to a specific initial condition that must be met before it can begin or take effect.
  • C. hasOpeningMovement chosen
    Indicates that a work, performance, or sequence includes a distinct initial movement or section that begins the overall piece.
  • D. hasOpeningFunction
    Indicates that an entity possesses a specific function or role related to opening something (e.g., access, initiation, or activation).
  • E. hasOpeningType
    Indicates that one entity has, features, or is characterized by a particular type or kind of opening.
  • 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_69f224a5d2b481908a6853cd0138e2d7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: April 29, 2026, 8:29 p.m.