Triple

T2065081
Position Surface form Disambiguated ID Type / Status
Subject Emergency Response Team E45879 entity
Predicate hasOperationalEnvironment P9320 FINISHED
Object urban 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: urban | Statement: [Emergency Response Team, hasOperationalEnvironment, urban]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOperationalEnvironment
Context triple: [Emergency Response Team, hasOperationalEnvironment, urban]
  • A. hasEnvironmentType
    Indicates that an entity is associated with or occurs within a specific type or category of environment.
  • B. hasEnvironmentalFunction
    Indicates that an entity serves a specific role or purpose related to the environment, such as contributing to ecological processes, protection, or sustainability.
  • C. supportsEnvironment
    Indicates that one entity provides the necessary conditions, compatibility, or resources for another entity to operate or exist within a particular environment.
  • D. primaryOperatingEnvironment chosen
    Indicates the main environment, platform, or context in which an entity is primarily designed to operate or function.
  • E. supportsOperationsIn
    Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d5147c8190a264fe42f0634cec completed March 7, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69abb7aee9b48190999620176e3a6ee2 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:40 p.m.