Triple

T24045456
Position Surface form Disambiguated ID Type / Status
Subject Brown hydroboration E595505 entity
Predicate followUpTransformation P32415 FINISHED
Object oxidation to alcohol 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 to alcohol | Statement: [Brown hydroboration, followUpTransformation, oxidation to alcohol]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followUpTransformation
Context triple: [Brown hydroboration, followUpTransformation, oxidation to alcohol]
  • A. followUpType
    Indicates the specific category or nature of a follow-up action or interaction that occurs after an initial event or communication.
  • B. followsUp chosen
    Indicates that one entity continues, responds to, or builds upon a previous entity, typically as a subsequent action, communication, or step.
  • C. followUpMechanism
    Indicates a mechanism or process that is used to continue, monitor, or respond to a prior action, event, or communication.
  • D. followUpRelease
    Indicates that one release occurs subsequently as a continuation or update to a previous release.
  • E. followUpDescription
    Indicates that one entity provides additional information, clarification, or continuation related to a prior action, event, or communication involving 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_69e288c06a908190899cad4531f32c9a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d9c9391c819095ea6232fa872d5c completed April 29, 2026, 10:13 a.m.
PD Predicate disambiguation batch_69f1764345388190a3102b62ddb729b4 completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 10:13 p.m.