Triple

T973224
Position Surface form Disambiguated ID Type / Status
Subject Housing Bureau E20989 entity
Predicate hasTypeOfAreaCommand P7157 FINISHED
Object Police Service Area 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: Police Service Area | Statement: [Housing Bureau, hasTypeOfAreaCommand, Police Service Area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfAreaCommand
Context triple: [Housing Bureau, hasTypeOfAreaCommand, Police Service Area]
  • A. hasAreaType
    Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
  • B. typeOfCommand chosen
    Indicates that one entity is a specific kind or category of command in relation to another entity.
  • C. hasCommand
    Indicates that one entity possesses, controls, or is associated with a specific command or directive applied to another entity or process.
  • D. hasAreaCodeType
    Indicates that an entity’s area code is associated with a specific type or classification of area code.
  • E. commandType
    Indicates the specific kind or category of command being issued or executed in the relationship.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b45f28f081908d41b2d7f353708d completed March 1, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69a4b2a6aa2c8190aebba71320ab678f completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.