Triple

T16492749
Position Surface form Disambiguated ID Type / Status
Subject Boson E400605 entity
Predicate statisticsAllow P123734 FINISHED
Object Macroscopic occupation of ground state 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: Macroscopic occupation of ground state | Statement: [Boson, statisticsAllow, Macroscopic occupation of ground state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statisticsAllow
Context triple: [Boson, statisticsAllow, Macroscopic occupation of ground state]
  • A. statisticsConsidered
    Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
  • B. languageAllowance
    Indicates the extent to which one entity permits or supports the use of a particular language by another entity.
  • C. isStillAllowedFor
    Indicates that one entity continues to have permission or authorization to access, use, or perform something in relation to another entity.
  • D. hasStatistics
    Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
  • E. collectingAllowed
    Indicates whether an entity is permitted to collect or gather specified items, data, or resources.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e30cb648190a52cb32896c4ac5a completed April 18, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69e296902d6c8190884ddb612b8c5b36 completed April 17, 2026, 8:22 p.m.
PDg Predicate description generation batch_69e2d7f97e548190a474691a152bd8e8 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:13 a.m.