Triple

T19770435
Position Surface form Disambiguated ID Type / Status
Subject Saputo Inc. E474869 entity
Predicate tickerSymbol P1447 FINISHED
Object SAP NE NERFINISHED

How this triple was built (3 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: SAP | Statement: [Saputo Inc., tickerSymbol, SAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAP
Context triple: [Saputo Inc., tickerSymbol, SAP]
  • A. SAP
    SAP is a leading global enterprise software company best known for its ERP solutions that help organizations manage business operations and customer relations.
  • B. SAP
    SAP is the commonly used abbreviation for the Société d’Anthropologie de Paris, a French learned society dedicated to the study of anthropology.
  • C. SAP
    SAP is the station code for Lisbon Santa Apolónia, one of the main railway terminals in Lisbon, Portugal.
  • D. SAP
    SAP is Sweden’s major center-left political party, historically associated with social democracy, the welfare state, and long periods of governing the country.
  • E. SAP
    SAP is the IATA airport code for Ramón Villeda Morales International Airport, the main air gateway serving San Pedro Sula, Honduras.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SAP
Target entity description: SAP is a leading global enterprise software company best known for its ERP solutions that help organizations manage business operations and customer relations.
  • A. SAP chosen
    SAP is a leading global enterprise software company best known for its ERP solutions that help organizations manage business operations and customer relations.
  • B. SAP
    SAP is the commonly used abbreviation for the Société d’Anthropologie de Paris, a French learned society dedicated to the study of anthropology.
  • C. SAP
    SAP is Sweden’s major center-left political party, historically associated with social democracy, the welfare state, and long periods of governing the country.
  • D. SAP
    SAP is the station code for Lisbon Santa Apolónia, one of the main railway terminals in Lisbon, Portugal.
  • E. SAP
    SAP was the former official currency of South Africa, used before the adoption of the South African rand.
  • F. None of above.

Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ab298819085263dc37cc898cb completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.