Triple

T9738255
Position Surface form Disambiguated ID Type / Status
Subject Nitrosopumilus E236119 entity
Predicate usesElectronAcceptor P12477 FINISHED
Object oxygen 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: oxygen | Statement: [Nitrosopumilus, usesElectronAcceptor, oxygen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesElectronAcceptor
Context triple: [Nitrosopumilus, usesElectronAcceptor, oxygen]
  • A. electronAcceptors chosen
    Indicates that one entity serves as an electron acceptor for another in a redox or electron-transfer process.
  • B. electronDonor
    Indicates a relationship where one entity donates or transfers electrons to another entity in a chemical or biochemical process.
  • C. hasElectronConfiguration
    Indicates that an entity (typically an atom or ion) possesses a specific arrangement of electrons in its atomic orbitals.
  • D. usedAccelerator
    Indicates that an entity has applied or made use of an accelerator (such as a device, mechanism, or process) to increase speed, performance, or progress in relation to another entity or activity.
  • E. canElect
    Indicates that one entity has the authority or ability to choose another entity for a position, role, or office through an election process.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef2ba048190811d6f4251fdb270 completed April 1, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69cd03c6ffc88190a5e9569e19122ad5 completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:22 p.m.