Triple

T24294885
Position Surface form Disambiguated ID Type / Status
Subject Asr E605929 entity
Predicate timeStartAlternativeDefinition P84174 FINISHED
Object when an object’s shadow is twice its length plus its noon shadow (Hanafi view) 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: when an object’s shadow is twice its length plus its noon shadow (Hanafi view) | Statement: [Asr, timeStartAlternativeDefinition, when an object’s shadow is twice its length plus its noon shadow (Hanafi view)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeStartAlternativeDefinition
Context triple: [Asr, timeStartAlternativeDefinition, when an object’s shadow is twice its length plus its noon shadow (Hanafi view)]
  • A. timeStartApprox
    Indicates that the associated event or state begins at an approximate, rather than exact, point in time.
  • B. timeDefinite
    Indicates that the associated event or state occurs at a clearly specified, fixed point or interval in time.
  • C. timeInterpretation chosen
    Indicates how a given temporal expression or event should be understood or interpreted in terms of time (e.g., its reference point, scope, or temporal role).
  • 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. timeDescribedAs
    Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
  • 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_69e29549335881909cbf27adcaba1cf0 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f291593c0881908a6827f0d8899fe6 completed April 29, 2026, 11:16 p.m.
PD Predicate disambiguation batch_69f1c45c6ec081908401b69424428100 completed April 29, 2026, 8:42 a.m.
Created at: April 18, 2026, 12:09 a.m.