Triple

T247776
Position Surface form Disambiguated ID Type / Status
Subject F E5075 entity
Predicate hasBloombergTicker P1447 FINISHED
Object F:US 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: F:US | Statement: [F, hasBloombergTicker, F:US]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBloombergTicker
Context triple: [F, hasBloombergTicker, F:US]
  • A. tickerSymbol chosen
    Indicates the association between a financial instrument or company and its unique abbreviated code used for trading on a securities exchange.
  • B. hasStockExchange
    Indicates that an entity is associated with or listed on a particular stock exchange.
  • C. hasCUSIP
    Indicates that a financial instrument is associated with a specific CUSIP identifier assigned to it.
  • D. hasISIN
    Indicates that a financial instrument is associated with a specific International Securities Identification Number (ISIN) that uniquely identifies it.
  • E. hasSEDOL
    Indicates that an entity is associated with a specific SEDOL (Stock Exchange Daily Official List) identifier used to uniquely identify securities.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d154ebc819087a5c9dc4f62ff44 completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b64ea3081908de626a0e1445bdb completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.