Triple

T35499716
Position Surface form Disambiguated ID Type / Status
Subject CPVC E1025964 entity
Predicate hasChemicalModification P198328 FINISHED
Object chlorination 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: chlorination | Statement: [CPVC, hasChemicalModification, chlorination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChemicalModification
Context triple: [CPVC, hasChemicalModification, chlorination]
  • A. hasBackboneModification
    Indicates that an entity has undergone a structural change or alteration to its backbone framework.
  • B. hasPostTranslationalModification
    Indicates that a biomolecule has undergone a specific chemical modification after its initial synthesis (translation), altering its structure or function.
  • C. hasAminoAcidChange
    Indicates that an entity (such as a protein or gene variant) involves or results in a specific change from one amino acid to another in its sequence.
  • D. modifiesMolecule
    Indicates that one entity chemically alters or functionally changes the structure or properties of a molecule.
  • E. hasHumanModification
    Indicates that an entity has been altered, influenced, or modified as a result of human activity or intervention.
  • F. None of above. chosen

Provenance (4 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_69f76dfc9c60819089c4217d93922615 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fedd5a5f4c8190acce88db56303703 completed May 9, 2026, 7:08 a.m.
PD Predicate disambiguation batch_69fed910b31c8190ae837163d146738d completed May 9, 2026, 6:49 a.m.
PDg Predicate description generation batch_69fedd5915588190bd884054e4be0414 completed May 9, 2026, 7:08 a.m.
Created at: May 3, 2026, 4:04 p.m.