Triple

T28030264
Position Surface form Disambiguated ID Type / Status
Subject Soyuz TM-13 E708244 entity
Predicate fundingArrangement P75196 FINISHED
Object commercially funded Austrian flight 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: commercially funded Austrian flight | Statement: [Soyuz TM-13, fundingArrangement, commercially funded Austrian flight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fundingArrangement
Context triple: [Soyuz TM-13, fundingArrangement, commercially funded Austrian flight]
  • A. fundingContext
    Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
  • B. fundingModel
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • C. fundingPolicy
    Indicates the rules or guidelines governing how financial resources are allocated, distributed, or managed within a given context.
  • D. fundingFlexibility
    Indicates the degree to which the terms, timing, or use of provided funds can be adjusted or reallocated without violating the original funding agreement.
  • E. fundingCharacteristics chosen
    Indicates the nature, terms, and key attributes of how something is funded or financially supported.
  • 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_69ef9b6bdd9c8190bb3a574a03774ad1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 8:15 p.m.