Triple

T18630926
Position Surface form Disambiguated ID Type / Status
Subject Lucas tree model E455412 entity
Predicate hasDividendProcess P132466 FINISHED
Object stochastic process 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: stochastic process | Statement: [Lucas tree model, hasDividendProcess, stochastic process]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDividendProcess
Context triple: [Lucas tree model, hasDividendProcess, stochastic process]
  • A. isDividendPaying
    Indicates that an entity (typically a financial instrument or company) pays dividends to its shareholders.
  • B. paysDividends
    Indicates that one entity distributes a portion of its earnings as dividends to another entity.
  • C. paysDividendsThrough
    Indicates that one entity distributes dividend payments to another entity by means of a specified intermediary or mechanism.
  • D. includesDividends
    Indicates that the referenced value or calculation already accounts for dividend payments in its total.
  • E. dividendType
    Indicates the classification of a dividend based on its nature or form (e.g., cash, stock, special), specifying what kind of dividend is being distributed.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f07fa8481908b2535b8fba70b7e completed April 19, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69e478d4a7948190a4bb9223bb5dddfc completed April 19, 2026, 6:40 a.m.
PDg Predicate description generation batch_69e485f5d1588190b44f31cbc54c0a9d completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 11:46 a.m.