Triple

T12857889
Position Surface form Disambiguated ID Type / Status
Subject Cameron (part), Missouri E307501 entity
Predicate emergencyMedicalServiceProvidedBy P90151 FINISHED
Object local EMS serving Cameron 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: local EMS serving Cameron | Statement: [Cameron (part), Missouri, emergencyMedicalServiceProvidedBy, local EMS serving Cameron]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emergencyMedicalServiceProvidedBy
Context triple: [Cameron (part), Missouri, emergencyMedicalServiceProvidedBy, local EMS serving Cameron]
  • A. emergencyService
    Indicates that one entity provides or is associated with urgent, time-critical assistance or response to another entity in emergency situations.
  • B. hasEmergencyServiceProvider chosen
    Indicates that an entity is associated with or served by a specific emergency service provider (such as police, fire, or medical services).
  • C. emergencyOffice
    Indicates that an office or location serves as an emergency contact point or coordination center for urgent or crisis situations.
  • D. typeOfEmergencyService
    Indicates the specific category or kind of emergency service associated with or provided in a given situation.
  • E. emergencyServicesRegion
    Indicates the geographic region within which specific emergency services are responsible for responding to incidents.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69d96fa3002881908000357b1f95a3ac completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:37 p.m.