Triple

T23320908
Position Surface form Disambiguated ID Type / Status
Subject Tire Me E591146 entity
Predicate hasAggressiveEnergy P151860 FINISHED
Object true 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: true | Statement: [Tire Me, hasAggressiveEnergy, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAggressiveEnergy
Context triple: [Tire Me, hasAggressiveEnergy, true]
  • A. hasEnergyRole
    Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
  • B. hasPowerful
    Indicates that one entity possesses significant strength, influence, or capability relative to another entity or context.
  • C. energyLevel
    Indicates the amount or intensity of energy possessed, produced, or exhibited by an entity in a given state or context.
  • D. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • E. usesEnergyFrom
    Indicates that one entity derives or consumes energy originating from another entity as its source.
  • 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19785ae5481908816b37da95ceb3e completed April 29, 2026, 5:30 a.m.
PD Predicate disambiguation batch_69effcf8ca2c8190887d4f4656617d21 completed April 28, 2026, 12:19 a.m.
PDg Predicate description generation batch_69f01d88b4ec8190a2a17a88e0eda178 completed April 28, 2026, 2:38 a.m.
Created at: April 17, 2026, 5:07 p.m.