Triple

T32392187
Position Surface form Disambiguated ID Type / Status
Subject RUA:IND E827700 entity
Predicate hasBloombergTickerType P5721 FINISHED
Object IND 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: IND | Statement: [RUA:IND, hasBloombergTickerType, IND]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBloombergTickerType
Context triple: [RUA:IND, hasBloombergTickerType, IND]
  • A. hasBloombergTickerFormat
    Indicates that an entity’s identifier follows the standardized ticker symbol format used by Bloomberg.
  • B. hasTickerType chosen
    Indicates that an entity is associated with a specific type or category of ticker (e.g., stock, index, or other financial instrument ticker).
  • C. hasTickerCountryCode
    Indicates that a financial instrument’s ticker symbol is associated with a specific country code.
  • D. isMajorBankTicker
    Indicates that a given ticker symbol corresponds to a major, systemically important banking institution.
  • E. hasCorporateTickerRoot
    Indicates that a company’s stock ticker symbol is derived from or based on the specified root string.
  • 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_69f349184e7481909c6c54428cb9cf12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c20f209081909fb9ac8f95069f04 completed May 3, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69f6bd25bed08190befcabd3a41ffadf completed May 3, 2026, 3:12 a.m.
Created at: May 1, 2026, 12:52 a.m.