Triple

T23806702
Position Surface form Disambiguated ID Type / Status
Subject Royal Parks Constabulary E589727 entity
Predicate policingTransferredTo P141833 FINISHED
Object Metropolitan Police Service NE NERFINISHED

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: Metropolitan Police Service | Statement: [Royal Parks Constabulary, policingTransferredTo, Metropolitan Police Service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policingTransferredTo
Context triple: [Royal Parks Constabulary, policingTransferredTo, Metropolitan Police Service]
  • A. policeBureau
    Indicates that an entity functions as or is associated with a police bureau or police department.
  • B. policingModel
    Indicates the approach, strategy, or framework used to organize and conduct policing activities or law enforcement operations.
  • C. policeSystem
    Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
  • D. policePrecinct
    Indicates that a specified location, building, or area functions as or is designated as a police precinct.
  • E. policeAreaPrecursorOf chosen
    Indicates that one police area served as a predecessor or earlier form of another police area in an administrative or organizational sequence.
  • 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_69e25d19fecc8190a5cf39bbb18d5d7f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c75206a88190b6e35da289471c27 completed April 29, 2026, 8:54 a.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:56 p.m.