Triple

T19591922
Position Surface form Disambiguated ID Type / Status
Subject Shabbat HaChodesh E470256 entity
Predicate timingRelativeToMonth P55209 FINISHED
Object preceding Rosh Chodesh Nisan 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: preceding Rosh Chodesh Nisan | Statement: [Shabbat HaChodesh, timingRelativeToMonth, preceding Rosh Chodesh Nisan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timingRelativeToMonth
Context triple: [Shabbat HaChodesh, timingRelativeToMonth, preceding Rosh Chodesh Nisan]
  • A. dateRelativeTo chosen
    Indicates a temporal relationship where one date is defined, positioned, or interpreted in relation to another reference date (e.g., before, after, or offset by a specific duration).
  • B. coincidesWithUTCInMonth
    Indicates that the time zone or local time of an entity matches Coordinated Universal Time (UTC) during a specified month.
  • C. timeRelativeToFeast
    Indicates the temporal relationship of an event or state with respect to a specific feast, such as occurring before, during, or after that feast.
  • D. timeCharacteristic
    Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
  • E. monthObserved
    Indicates the month during which an event, observation, or measurement took place.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6405646f0819089436d5517c03047 completed April 20, 2026, 3:03 p.m.
PD Predicate disambiguation batch_69e514dbdb988190b55931a8138c73e7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.