Triple

T14337133
Position Surface form Disambiguated ID Type / Status
Subject Schrödinger functional equation in field theory E355493 entity
Predicate timeVariable P73315 FINISHED
Object continuous time parameter 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: continuous time parameter | Statement: [Schrödinger functional equation in field theory, timeVariable, continuous time parameter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeVariable
Context triple: [Schrödinger functional equation in field theory, timeVariable, continuous time parameter]
  • A. timePeriod
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • B. timeDomain
    Indicates that something is characterized, defined, or analyzed with respect to time rather than another domain (such as frequency or space).
  • C. timeProperty chosen
    Indicates that one entity specifies, constrains, or characterizes a temporal aspect or timing-related attribute of another entity.
  • D. timeType
    Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
  • E. time
    Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c2241e48190a0c626b3d741966a completed April 14, 2026, 6:49 p.m.
PD Predicate disambiguation batch_69de2a9958e881909d03ac03f135163e completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:14 a.m.