Triple

T10067888
Position Surface form Disambiguated ID Type / Status
Subject POWER2 E213144 entity
Predicate supportsFloatingPoint P91925 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: [POWER2, supportsFloatingPoint, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsFloatingPoint
Context triple: [POWER2, supportsFloatingPoint, true]
  • A. floatingPointPerformance
    Indicates the level of computational capability or efficiency an entity has when performing floating-point arithmetic operations.
  • B. floatingPointRegisterCount
    Indicates the number of floating-point registers associated with an entity (such as a processor or execution context).
  • C. compatibleFPU
    Indicates that two processing units or components can interoperate correctly and reliably with respect to floating-point operations.
  • D. isFloatingCurrency
    Indicates that a currency’s value is determined by market forces and allowed to fluctuate freely rather than being fixed to another asset or currency.
  • E. floatType
    Indicates that an entity has a specific floating-point data type or is categorized as a floating-point numeric value.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff798bc8190a84af7bedea66f0a completed April 2, 2026, 2:09 a.m.
PD Predicate disambiguation batch_69cd4b92573481909389bc6148ae7ea8 completed April 1, 2026, 4:45 p.m.
PDg Predicate description generation batch_69cd4f8d9b888190b8067bd916dae773 completed April 1, 2026, 5:02 p.m.
Created at: March 30, 2026, 8:58 p.m.