Triple

T29725314
Position Surface form Disambiguated ID Type / Status
Subject Chagigah (festival peace offering) E752162 entity
Predicate portionBurned P164098 FINISHED
Object certain fats on the altar 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: certain fats on the altar | Statement: [Chagigah (festival peace offering), portionBurned, certain fats on the altar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portionBurned
Context triple: [Chagigah (festival peace offering), portionBurned, certain fats on the altar]
  • A. burningSince
    Indicates that an object or substance has been continuously burning from a specified starting time up to the present or another reference time.
  • B. estimatedBurnDuration
    Indicates the expected length of time that something is predicted to burn or remain burning.
  • C. remainPercentage chosen
    Indicates the proportion or percentage of something that continues to exist or is left after part of it has been used, removed, or has changed.
  • D. burnedDownIn
    Indicates that a structure or object was destroyed by fire during a particular event or incident.
  • E. burnedDuring
    Indicates that one event, object, or process was actively burning or being consumed by fire during the time span of another specified event or interval.
  • 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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672ff16a08190b8840351bef56f55 completed May 2, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 7:38 p.m.