Triple

T10602472
Position Surface form Disambiguated ID Type / Status
Subject Soar cognitive architecture E275783 entity
Predicate hasDocumentation P4310 FINISHED
Object Soar manual E275787 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: Soar manual | Statement: [Soar cognitive architecture, hasDocumentation, Soar manual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soar manual
Context triple: [Soar cognitive architecture, hasDocumentation, Soar manual]
  • A. Soar chosen
    Soar is a cognitive architecture and artificial intelligence framework co-developed by Allen Newell to model and implement general intelligent behavior.
  • B. Soar
    Soar is the surname of Hank Soar, an American football player and longtime Major League Baseball umpire.
  • C. SOAR
    SOAR is the commonly used abbreviation for the U.S. Army’s elite 160th Special Operations Aviation Regiment, known for its specialized nighttime and low-level aviation missions in support of special operations forces.
  • D. Soaring: Fantastic Flight
    Soaring: Fantastic Flight is a popular Disney theme park attraction that simulates a breathtaking hang-gliding journey over famous landmarks and scenic vistas.
  • E. SoR
    SoR is the commonly used abbreviation for the Society of Rheology, a professional organization dedicated to the study of the flow and deformation of matter.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded61d5c8190b13890c964b59949 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:31 p.m.