Triple

T30200560
Position Surface form Disambiguated ID Type / Status
Subject The Adventure of Wisteria Lodge E767770 entity
Predicate featuresPoliceForce P90046 FINISHED
Object Surrey police 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: Surrey police | Statement: [The Adventure of Wisteria Lodge, featuresPoliceForce, Surrey police]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresPoliceForce
Context triple: [The Adventure of Wisteria Lodge, featuresPoliceForce, Surrey police]
  • A. policeForceCharacteristic chosen
    Indicates that a specified characteristic, quality, or attribute is associated with a particular police force.
  • B. policeCharacter
    Indicates that one entity serves as a police officer or law-enforcement figure in relation to another entity.
  • C. policeDescription
    Indicates that an entity serves as or provides a descriptive account or characterization of a police-related entity, role, action, or situation.
  • D. policeSystem
    Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
  • E. policeClassification
    Indicates a categorization relationship where an entity is assigned a specific classification or status by a police or law-enforcement authority.
  • 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_69f2247db1108190835c0727c97637c3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69ffde9263248190996f970b6cf6e49d completed May 10, 2026, 1:25 a.m.
PD Predicate disambiguation batch_69ffdd760f1c8190abc6c0c1cd97ba5f completed May 10, 2026, 1:20 a.m.
Created at: April 29, 2026, 7:30 p.m.