Triple

T4560978
Position Surface form Disambiguated ID Type / Status
Subject Dallas–Fort Worth broadcasters E121788 entity
Predicate emergencyAlertType P57677 FINISHED
Object child abduction alerts 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: child abduction alerts | Statement: [Dallas–Fort Worth broadcasters, emergencyAlertType, child abduction alerts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emergencyAlertType
Context triple: [Dallas–Fort Worth broadcasters, emergencyAlertType, child abduction alerts]
  • A. emergencyEvent
    Indicates that an urgent, unexpected, and potentially harmful situation or incident has occurred requiring immediate attention or response.
  • B. emergencyAlertBrand
    Indicates that one entity is the brand or branding associated with an emergency alert system, service, or notification.
  • C. emergencyResponse
    Indicates a relationship where an entity takes immediate action to address or manage an urgent or critical situation.
  • D. emergencyPolicy
    Indicates that an entity has a policy or set of rules specifically governing actions and procedures to be followed during emergencies or crisis situations.
  • E. typeOfEmergencyService
    Indicates the specific category or kind of emergency service associated with or provided in a given situation.
  • F. None of above. chosen

Provenance (4 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd582d98fc8190a760dbb5f20c775d completed March 20, 2026, 2:22 p.m.
PD Predicate disambiguation batch_69bd52254c648190a5144cfe8fa7e409 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56f6e75481909c487a94a2c2d0ba completed March 20, 2026, 2:17 p.m.
Created at: March 20, 2026, 1:09 p.m.