Triple

T24036547
Position Surface form Disambiguated ID Type / Status
Subject SL(n,ℂ) E595247 entity
Predicate hasConditionOnElements P1255 FINISHED
Object determinant equal to 1 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: determinant equal to 1 | Statement: [SL(n,ℂ), hasConditionOnElements, determinant equal to 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConditionOnElements
Context triple: [SL(n,ℂ), hasConditionOnElements, determinant equal to 1]
  • A. hasCondition chosen
    Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
  • B. containsCondition
    Indicates that one entity includes, embodies, or is associated with a particular condition.
  • C. hasNumberOfConditions
    Indicates that an entity is associated with a specific count of conditions it has or is subject to.
  • D. hasChainCondition
    Indicates that one entity is subject to, or satisfies, a specified chain condition imposed or characterized by another entity.
  • E. hasElementType
    Indicates that something is composed of or contains elements that are of a specified type.
  • 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_69e288bf45f08190a1b6ed8cd0b9e86b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d8d43884819093e9207a99ae2a70 completed April 29, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69f1764345388190a3102b62ddb729b4 completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:56 p.m.