Triple

T23006210
Position Surface form Disambiguated ID Type / Status
Subject Glauber coherent states E572775 entity
Predicate photonNumberStatistics P119002 FINISHED
Object Poissonian distribution 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: Poissonian distribution | Statement: [Glauber coherent states, photonNumberStatistics, Poissonian distribution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: photonNumberStatistics
Context triple: [Glauber coherent states, photonNumberStatistics, Poissonian distribution]
  • A. numberOfSpectralChannels
    Indicates the relationship specifying how many distinct spectral channels are associated with an entity or measurement.
  • B. hasParticleStatistics chosen
    Indicates that one entity is characterized by, or governed according to, the particle statistics specified by another entity (e.g., Bose–Einstein, Fermi–Dirac).
  • C. isQuantumOf
    Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
  • D. opticalProperty
    Indicates a relationship where an entity has or is characterized by a specific optical property, such as how it interacts with or responds to light.
  • E. numberOfQubitsRequired
    Indicates the quantity of qubits needed to perform or represent a given quantum operation, system, or computation.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835706dc8190b3f9743c0f336bb2 completed April 29, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69ef3b9cd5488190bcd23183179f48cd completed April 27, 2026, 10:34 a.m.
Created at: April 17, 2026, 3:51 p.m.