Triple

T1117466
Position Surface form Disambiguated ID Type / Status
Subject Torre Mayor E11132 entity
Predicate hasEmergencySystems P25136 FINISHED
Object advanced fire protection systems 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: advanced fire protection systems | Statement: [Torre Mayor, hasEmergencySystems, advanced fire protection systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEmergencySystems
Context triple: [Torre Mayor, hasEmergencySystems, advanced fire protection systems]
  • A. hasEmergencyIntercoms
    Indicates that an entity is equipped with emergency intercom devices available for use in urgent or crisis situations.
  • B. hasEmergencyServices
    Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
  • C. hasOnboardSystems
    Indicates that an entity is equipped with or contains specific onboard systems or subsystems.
  • D. hasFireControlSystem
    Indicates that an entity is equipped with or includes a fire control system used to detect, track, and direct weapons or suppression against targets.
  • E. emergencyPower
    Indicates that an entity has backup or auxiliary power available or activated for use during emergencies or primary power failures.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
PDg Predicate description generation batch_69a4bc47fce48190825d3a877251f789 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:43 p.m.