Triple

T189051
Position Surface form Disambiguated ID Type / Status
Subject TXN E3676 entity
Predicate paysDividends P5726 FINISHED
Object yes 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: yes | Statement: [TXN, paysDividends, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: paysDividends
Context triple: [TXN, paysDividends, yes]
  • A. isPegged
    Indicates that one entity’s value, status, or behavior is fixed or tightly linked to that of another entity, typically so that changes in the reference entity directly determine changes in the pegged entity.
  • B. marketedBy
    Indicates that one entity is promoted, advertised, or commercially presented to customers by another entity.
  • C. hasPostNominal
    Indicates that an entity is associated with a post-nominal title, abbreviation, or letters that follow a name to denote qualifications, honors, or status.
  • D. sharesSymbol
    Indicates that two entities use or are associated with the same identifying symbol (such as a ticker, code, or notation).
  • E. hasProduct
    Indicates that an entity possesses, offers, or is associated with a particular product.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594abeec8190a48f36817e647fcd completed Feb. 28, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69a25672332081909386f35f3ca15dd2 completed Feb. 28, 2026, 2:44 a.m.
PDg Predicate description generation batch_69a25738b5108190866fd704fceee18a completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.