Triple

T16492742
Position Surface form Disambiguated ID Type / Status
Subject Boson E400605 entity
Predicate includes P1393 FINISHED
Object Photon E194003 NE 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: Photon | Statement: [Boson, includes, Photon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Photon
Context triple: [Boson, includes, Photon]
  • A. photon chosen
    A photon is the fundamental quantum of electromagnetic radiation, behaving as both a particle and a wave and mediating the electromagnetic force.
  • B. Phonon
    Phonon is a multimedia framework used primarily in KDE software to provide a consistent, high-level API for audio and video playback across different back-end systems.
  • C. Broglie
    Broglie is a small commune in the Eure department of northern France, known for its historic village charm and rural Norman setting.
  • D. Boson
    A boson is a type of subatomic particle that follows Bose–Einstein statistics and can occupy the same quantum state as others, enabling phenomena like force mediation and superconductivity.
  • E. Fermyon
    Fermyon is a technology company focused on building tools and platforms for serverless and cloud-native applications using WebAssembly.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e30cb648190a52cb32896c4ac5a completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058266b8c8190adc0974025553783 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.