Triple

T9564553
Position Surface form Disambiguated ID Type / Status
Subject Planck volume E230756 entity
Predicate hasLog10ValueInCubicMetres P89819 FINISHED
Object approximately -104.375 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: approximately -104.375 | Statement: [Planck volume, hasLog10ValueInCubicMetres, approximately -104.375]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLog10ValueInCubicMetres
Context triple: [Planck volume, hasLog10ValueInCubicMetres, approximately -104.375]
  • A. meanVolume_km3
    Indicates the average volume of an entity, measured in cubic kilometers (km³), typically over a specified period or set of conditions.
  • B. valueSI
    Indicates that an entity has a quantitative value expressed in SI (International System of Units) units.
  • C. excavatedVolume
    Indicates the amount of material removed from a site or area as a result of an excavation activity.
  • D. cabinVolumeCubicMeters
    Indicates the volume of an enclosed cabin space measured in cubic meters.
  • E. hasOrderOfMagnitudeInJoules
    Indicates that the quantity associated with an entity is approximately of a specified order of magnitude when measured in joules.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996a01b081908e2782f41520f73d completed April 1, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69ccd594d0ac8190a81bc11a3a538167 completed April 1, 2026, 8:21 a.m.
PDg Predicate description generation batch_69ccd93e90048190a2b0d7c5c195ba98 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:04 p.m.