Triple

T37747464
Position Surface form Disambiguated ID Type / Status
Subject New York City Police Department 103rd Precinct E940884 entity
Predicate nonEmergencyPhoneNumber P77037 FINISHED
Object 311 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: 311 | Statement: [New York City Police Department 103rd Precinct, nonEmergencyPhoneNumber, 311]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nonEmergencyPhoneNumber
Context triple: [New York City Police Department 103rd Precinct, nonEmergencyPhoneNumber, 311]
  • A. hasNonEmergencyNumber chosen
    Indicates that an entity is associated with a phone number intended for non-emergency, routine, or informational contact rather than urgent or emergency situations.
  • B. operatesNonEmergencyNumber
    Indicates that an entity is responsible for running or managing a telephone number designated for non-emergency inquiries or services.
  • C. emergencyPhoneNumber
    Indicates that the object is a phone number designated for use in emergencies or urgent situations.
  • D. hasEmergencyTelephone
    Indicates that an entity is equipped with or provides access to an emergency telephone for urgent communication or assistance.
  • E. emergencyNumberType
    Indicates the specific category or type of an emergency contact number (e.g., police, fire, medical).
  • 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_69f76ee0e32c8190b40a3b4cf590337c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaef0cec881908c2742d77d145901 completed May 6, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69fbadf632ec8190b14991c971258307 completed May 6, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:19 p.m.