Triple

T15096244
Position Surface form Disambiguated ID Type / Status
Subject BATRA E360544 entity
Predicate subjectToMarketRisk P107958 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: [BATRA, subjectToMarketRisk, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectToMarketRisk
Context triple: [BATRA, subjectToMarketRisk, yes]
  • A. currencyRisk
    Indicates the exposure an entity has to potential financial loss or gain due to fluctuations in foreign exchange rates between currencies.
  • B. hasUnderlyingMarket chosen
    Indicates that one entity is based on, derives its value from, or is traded with reference to another entity that serves as its fundamental market.
  • C. riskBasis
    Indicates the underlying factor, condition, or rationale that forms the basis for assessing or assigning risk in a given context.
  • D. hasInflationRisk
    Indicates that something is subject to potential loss of value or purchasing power due to inflation.
  • E. riskRequirement
    Indicates that one entity specifies or imposes a required level or type of risk consideration that another entity must meet or address.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005466e9c8190a68e1fbeb8922b1a completed April 15, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69deb9645b9c8190a5712456dbd78029 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:04 a.m.