Triple

T24652697
Position Surface form Disambiguated ID Type / Status
Subject Rochow process E610296 entity
Predicate catalystPromoter P157161 FINISHED
Object arsenic 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: arsenic | Statement: [Rochow process, catalystPromoter, arsenic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: catalystPromoter
Context triple: [Rochow process, catalystPromoter, arsenic]
  • A. catalystPromoter chosen
    Indicates that one entity enhances or facilitates the catalytic activity or effectiveness of another entity.
  • B. catalyst
    Indicates that one entity facilitates or accelerates a process, reaction, or change involving another entity without itself being consumed or fundamentally altered.
  • C. catalystGeneration
    Indicates that one entity initiates, produces, or brings about a catalyst that enables or accelerates a process or reaction involving another entity.
  • D. 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.
  • E. typicalCatalystLoading
    Indicates the usual amount or concentration of catalyst employed in a given reaction or 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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f47b865df48190bf4b6d3e9f9305e6 completed May 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69f4682c8a3c8190adbfaac99474eaaf completed May 1, 2026, 8:45 a.m.
Created at: April 18, 2026, 2:34 a.m.