Triple

T12734766
Position Surface form Disambiguated ID Type / Status
Subject Shinjuku Fire Station E304333 entity
Predicate emergencyPhoneNumberUsed P37309 FINISHED
Object 119 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: 119 | Statement: [Shinjuku Fire Station, emergencyPhoneNumberUsed, 119]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emergencyPhoneNumberUsed
Context triple: [Shinjuku Fire Station, emergencyPhoneNumberUsed, 119]
  • A. emergencyPhoneNumber chosen
    Indicates that the object is a phone number designated for use in emergencies or urgent situations.
  • B. usesEmergencyNumber
    Indicates that an entity initiates contact or communication by dialing or otherwise employing an officially designated emergency telephone number.
  • C. operatesEmergencyNumber
    Indicates that an entity is responsible for running or managing an emergency telephone number service for another entity or region.
  • D. 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.
  • E. emergencyService
    Indicates that one entity provides or is associated with urgent, time-critical assistance or response to another entity in 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96403957c81909acdee7bdae71696 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:26 p.m.