Triple

T461706
Position Surface form Disambiguated ID Type / Status
Subject Hanbury Brown and Twiss effect E7352 entity
Predicate revealsPropertyOf P5685 FINISHED
Object spatial coherence of light 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: spatial coherence of light | Statement: [Hanbury Brown and Twiss effect, revealsPropertyOf, spatial coherence of light]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revealsPropertyOf
Context triple: [Hanbury Brown and Twiss effect, revealsPropertyOf, spatial coherence of light]
  • A. identifiesPropertyOf chosen
    Indicates that one entity specifies or denotes a particular property or attribute belonging to another entity.
  • B. recognizedFormOfProperty
    Indicates that one entity is acknowledged or accepted as a valid or official form, variant, or representation of a particular property associated with another entity.
  • C. hasModeOfRevelation
    Indicates the manner or channel through which something is revealed, communicated, or made known.
  • D. discloses
    Indicates that one entity reveals, makes known, or provides previously non-public information to another entity or to the public.
  • E. providesProperty
    Indicates that one entity supplies, grants, or makes a particular property or attribute available to another entity.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efbed5b88190a45716812eb4cfdf completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2ede8eac081908dffade6a5e7950b completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.