Triple

T20203364
Position Surface form Disambiguated ID Type / Status
Subject Plaistow Fire Department E493281 entity
Predicate emergencyNumberUsed P21774 FINISHED
Object 911 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: 911 | Statement: [Plaistow Fire Department, emergencyNumberUsed, 911]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emergencyNumberUsed
Context triple: [Plaistow Fire Department, emergencyNumberUsed, 911]
  • A. emergencyPhoneNumber
    Indicates that the object is a phone number designated for use in emergencies or urgent situations.
  • B. usesEmergencyNumber chosen
    Indicates that an entity initiates contact or communication by dialing or otherwise employing an officially designated emergency telephone number.
  • C. emergencyService
    Indicates that one entity provides or is associated with urgent, time-critical assistance or response to another entity in emergency situations.
  • D. operatesEmergencyNumber
    Indicates that an entity is responsible for running or managing an emergency telephone number service for another entity or region.
  • E. hasNonEmergencyNumber
    Indicates that an entity is associated with a phone number intended for non-emergency, routine, or informational contact rather than urgent or emergency situations.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8ec73c8190b630599c5ceb22ac completed April 20, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69e55b14c9d8819095453d0504d9222f completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:38 p.m.