Triple

T29825255
Position Surface form Disambiguated ID Type / Status
Subject Memorial of Christ’s death E757359 entity
Predicate timingBasis P53617 FINISHED
Object date of Nisan 14 on the Jewish calendar 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: date of Nisan 14 on the Jewish calendar | Statement: [Memorial of Christ’s death, timingBasis, date of Nisan 14 on the Jewish calendar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timingBasis
Context triple: [Memorial of Christ’s death, timingBasis, date of Nisan 14 on the Jewish calendar]
  • A. timingStandard chosen
    Indicates that one entity specifies or conforms to the timing rules, constraints, or reference schedule defined by another entity.
  • B. timingMethod
    Indicates the method or technique used to measure or record the timing of an event or process.
  • C. timingProvider
    Indicates that one entity serves as the source or controller of timing information or synchronization for another entity.
  • D. timingParameter
    Indicates a relationship where one entity specifies or controls a temporal setting, constraint, or configuration parameter that determines the timing behavior of another entity or process.
  • E. 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).
  • 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_69f22457c84c8190a6d9f56bc74082a9 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67597ec4081909c0b453a69f14c28 completed May 2, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69f66ac32b60819092290b2de35988d3 completed May 2, 2026, 9:21 p.m.
Created at: April 29, 2026, 5:31 p.m.