Triple

T22027721
Position Surface form Disambiguated ID Type / Status
Subject Session Description Protocol E544008 entity
Predicate associatedWith P37 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: [Session Description Protocol, associatedWith, SAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAP
Context triple: [Session Description Protocol, associatedWith, 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 multinational enterprise software company best known for its integrated 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cdf5c08190ac804664d6e56fe2 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.