Triple

T22480641
Position Surface form Disambiguated ID Type / Status
Subject Beta Monocerotis E555753 entity
Predicate hasOpticalMultiplicity P133484 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: [Beta Monocerotis, hasOpticalMultiplicity, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpticalMultiplicity
Context triple: [Beta Monocerotis, hasOpticalMultiplicity, true]
  • A. hasSpinMultiplicity
    Indicates that an entity is associated with a specific spin multiplicity value, representing the number of possible spin states in its quantum mechanical description.
  • B. hasIsospinMultiplet
    Indicates that two or more particles belong to the same isospin multiplet, i.e., they are related by isospin symmetry and differ only in their isospin projection (such as charge states).
  • C. hasOpticalElement
    Indicates that one entity includes, contains, or is equipped with a specific optical element as a component or part.
  • D. hasOpticalChannels
    Indicates that an entity possesses one or more optical communication or signal-transmission channels.
  • E. hasOpticalCompanion chosen
    Indicates that one entity has another entity as an associated optical companion, typically observed as a nearby or paired object in optical wavelengths.
  • F. None of above.

Provenance (3 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3836a08190b6f0d88b94cb80a3 completed April 29, 2026, 1:17 a.m.
PD Predicate disambiguation batch_69e898b6eee08190ba673a0ee329e671 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:49 p.m.