Triple

T377917
Position Surface form Disambiguated ID Type / Status
Subject Merkur E8610 entity
Predicate positionedAgainst P10459 FINISHED
Object Saab E2751 NE 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: Saab | Statement: [Merkur, positionedAgainst, Saab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saab
Context triple: [Merkur, positionedAgainst, Saab]
  • A. Saab Automobile chosen
    Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
  • B. Saab AB
    Saab AB is a Swedish aerospace and defense company known for developing military aircraft, advanced defense systems, and security solutions.
  • C. Saab 96
    The Saab 96 is a compact Swedish car produced from 1960 to 1980, known for its distinctive aerodynamic shape, front-wheel drive, and success in international rallying.
  • D. Saab 9-5
    The Saab 9-5 is a mid-size executive car produced by Swedish automaker Saab, known for its turbocharged engines, safety innovations, and distinctive Scandinavian design.
  • E. Saab 93
    The Saab 93 is a compact two-door car produced by Swedish manufacturer Saab in the late 1950s, known for its aerodynamic design, front-wheel drive, and successful rally performance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee2b0ec481908fac41a4e1d20468 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f4ded68c8190b6951c03fd75c404 completed March 1, 2026, 8:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.