Triple

T6054408
Position Surface form Disambiguated ID Type / Status
Subject TI-85 E134872 entity
Predicate supportsAngleModes P67993 FINISHED
Object degree 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: degree | Statement: [TI-85, supportsAngleModes, degree]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsAngleModes
Context triple: [TI-85, supportsAngleModes, degree]
  • A. angleCondition
    Indicates that a specified geometric relationship holds between angles, such as equality, inequality, or a particular angular constraint.
  • B. supportsInternationalOrientation
    Indicates that one entity facilitates, promotes, or enables the international focus, outlook, or activities of another entity.
  • C. angleProperty
    Indicates that a relationship specifies a particular geometric or quantitative characteristic (such as measure, type, or orientation) of an angle between entities.
  • D. supportsReferenceModes
    Indicates that an entity provides or is compatible with specific reference modes for identifying or accessing other entities.
  • E. bendAngle
    Indicates the degree to which one part is bent relative to another, typically measured as the angle formed at their joint or intersection.
  • F. None of above. chosen

Provenance (4 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05708fda48190ad3d1860969ebb6a completed March 22, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69c049edc6f0819092ca620d9073ad26 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04dbefd1081909795fe1a812b991a completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 4:09 p.m.