Triple

T9824063
Position Surface form Disambiguated ID Type / Status
Subject Nitrososphaera E238608 entity
Predicate catalyzes P79101 FINISHED
Object oxidation of ammonia to nitrite 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: oxidation of ammonia to nitrite | Statement: [Nitrososphaera, catalyzes, oxidation of ammonia to nitrite]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: catalyzes
Context triple: [Nitrososphaera, catalyzes, oxidation of ammonia to nitrite]
  • A. catalyst chosen
    Indicates that one entity facilitates or accelerates a process, reaction, or change involving another entity without itself being consumed or fundamentally altered.
  • B. accelerates
    Indicates that one entity causes an increase in the speed or rate of change of another entity or process.
  • C. catalystRegenerated
    Indicates that a catalyst, after facilitating a reaction, is restored to its original state and made available to participate in the reaction cycle again.
  • D. enzymeType
    Indicates the specific class or category of enzyme associated with an entity or reaction.
  • E. inhibits
    Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cd03e01ea881909a7d93fc3994ace5 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:31 p.m.