Triple

T15615909
Position Surface form Disambiguated ID Type / Status
Subject Kallah (semiannual assembly) E375409 entity
Predicate attendancePattern P2636 FINISHED
Object students traveled from various Jewish communities 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: students traveled from various Jewish communities | Statement: [Kallah (semiannual assembly), attendancePattern, students traveled from various Jewish communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attendancePattern
Context triple: [Kallah (semiannual assembly), attendancePattern, students traveled from various Jewish communities]
  • A. attendance chosen
    Indicates the relationship between an event and the people who are present at or participate in that event.
  • B. attendanceIssues
    Indicates that there are problems or irregularities related to an entity’s attendance, such as frequent absences, tardiness, or non-compliance with attendance expectations.
  • C. attendancePromotion
    Indicates a relationship where one entity promotes, encourages, or incentivizes attendance at an event, activity, or location for another entity.
  • D. attendanceUnit
    Indicates a unit or measure used to quantify or record attendance in a given context.
  • E. attendanceAnnounced
    Indicates that an official statement has been made about whether and/or how many people will attend an event.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:13 a.m.