Triple

T10033253
Position Surface form Disambiguated ID Type / Status
Subject COBOL E204900 entity
Predicate influenced P9 FINISHED
Object ABAP
ABAP is a high-level programming language created by SAP, primarily used for developing business applications within the SAP ecosystem.
 E35622 NE FINISHED

How this triple was built (4 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: ABAP | Statement: [COBOL, influenced, ABAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ABAP
Context triple: [COBOL, influenced, ABAP]
  • A. 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.
  • B. SAP
    SAP is a leading global enterprise software company best known for its ERP solutions that help organizations manage business operations and customer relations.
  • C. SAP
    SAP is the commonly used abbreviation for the Société d’Anthropologie de Paris, a French learned society dedicated to the study of anthropology.
  • D. SAP
    SAP was the former official currency of South Africa, used before the adoption of the South African rand.
  • E. SAP
    SAP is the station code for Lisbon Santa Apolónia, one of the main railway terminals in Lisbon, Portugal.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ABAP
Triple: [COBOL, influenced, ABAP]
Generated description
ABAP is a high-level programming language created by SAP, primarily used for developing business applications within the SAP ecosystem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ABAP
Target entity description: ABAP is a high-level programming language created by SAP, primarily used for developing business applications within the SAP ecosystem.
  • A. 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.
  • B. 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.
  • C. SAP
    SAP was the former official currency of South Africa, used before the adoption of the South African rand.
  • D. SAP
    SAP is the commonly used abbreviation for the Société d’Anthropologie de Paris, a French learned society dedicated to the study of anthropology.
  • E. SAP
    SAP is the station code for Lisbon Santa Apolónia, one of the main railway terminals in Lisbon, Portugal.
  • F. None of above.

Provenance (5 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce47845c8190ab5696267fdedcad completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282478578819085ca00fe140bb6c1 completed April 5, 2026, 3:39 p.m.
NEDg Description generation batch_69d283c516708190b3a1c363841787fc completed April 5, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_69d284956730819099e5cd918e722fd8 completed April 5, 2026, 3:49 p.m.
Created at: March 30, 2026, 8:54 p.m.