Triple

T24045461
Position Surface form Disambiguated ID Type / Status
Subject Brown hydroboration E595505 entity
Predicate selectivityFeature P36177 FINISHED
Object high regioselectivity 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: high regioselectivity | Statement: [Brown hydroboration, selectivityFeature, high regioselectivity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: selectivityFeature
Context triple: [Brown hydroboration, selectivityFeature, high regioselectivity]
  • A. selectionCharacteristic chosen
    Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
  • B. isSelective
    Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
  • C. decisiveFeature
    Indicates that one feature or characteristic plays a determining role in deciding an outcome or distinguishing between alternatives.
  • D. sensitivityFeature
    Indicates a relationship where one entity functions as a sensitivity-related characteristic, parameter, or attribute of another entity.
  • E. targetFeature
    Indicates that one entity is the specific feature, attribute, or characteristic that another entity is directed toward, focused on, or intended to affect.
  • 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.