Triple

T13589369
Position Surface form Disambiguated ID Type / Status
Subject Bq E324650 entity
Predicate isCoherentWithSI P110187 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: [Bq, isCoherentWithSI, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCoherentWithSI
Context triple: [Bq, isCoherentWithSI, true]
  • A. isCoherentSIUnit
    Indicates that a unit is a valid, internally consistent unit within the International System of Units (SI), derived strictly from SI base units without additional numerical factors.
  • B. isNonCoherentWithSI
    Indicates that something does not conform to, or is inconsistent with, the specified standard or specification interface (SI).
  • C. isExactInSI
    Indicates that a quantity or value is defined as an exact, non-approximate value within the International System of Units (SI).
  • D. isOfficialSystemOfUnitsFor
    Indicates that one system of units is formally recognized or designated as the standard measurement system for a particular domain, region, or context.
  • E. isCoherentInCGS
    Indicates that something maintains internal consistency or logical coherence within the CGS (centimeter–gram–second) unit system.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb055cc98819091fab597b69e5e3e completed April 12, 2026, 2:46 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
PDg Predicate description generation batch_69dbaf9f3bdc8190838539aaef1f422b completed April 12, 2026, 2:43 p.m.
Created at: April 9, 2026, 9:49 p.m.