Triple

T8832315
Position Surface form Disambiguated ID Type / Status
Subject BASE E210174 entity
Predicate primaryParticleStudied P25626 FINISHED
Object antiproton 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: antiproton | Statement: [BASE, primaryParticleStudied, antiproton]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryParticleStudied
Context triple: [BASE, primaryParticleStudied, antiproton]
  • A. primaryDecayChannelStudied
    Indicates that the primary mode of decay for a particle or system is the main subject of investigation or analysis.
  • B. usedParticle
    Indicates that one entity employs or applies a particular particle (e.g., subatomic, linguistic, or material) in some process, context, or construction involving another entity.
  • C. beamParticle chosen
    Indicates that one entity directs or projects another entity as a beam-like stream or focused flow.
  • D. targetNucleusInDiscovery
    Indicates that a particular nucleus is the primary focus or subject of a scientific discovery or identification event.
  • E. primaryTargetMaterial
    Indicates the material that serves as the main or principal target in a given process, action, or interaction.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc605005788190a4df1fe317f3056a completed April 1, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69cc5c23d08481908d8c9b0ad3d1dc00 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:47 p.m.