Triple

T2981011
Position Surface form Disambiguated ID Type / Status
Subject Pe E80509 entity
Predicate numericalValueHebrewGematria P44439 FINISHED
Object 80 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: 80 | Statement: [Pe, numericalValueHebrewGematria, 80]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numericalValueHebrewGematria
Context triple: [Pe, numericalValueHebrewGematria, 80]
  • A. numericValueInGreekNumerals
    Indicates that a given numeric value is represented or expressed using Greek numeral notation.
  • B. numberInBiblicalText
    Indicates that a specific number appears within, or is referenced by, a given passage or unit of biblical text.
  • C. hasNameInHebrew
    Indicates that an entity is associated with a specific name expressed in the Hebrew language.
  • D. hasNumericValueInGreekNumerals
    Indicates that an entity is associated with a specific numeric value expressed using Greek numeral notation.
  • E. positionInHebrewBible
    Indicates the ordinal position that something occupies within the canonical sequence of books or passages in the Hebrew Bible.
  • F. None of above. chosen

Provenance (4 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a098e08190976eb4b019818f67 completed March 8, 2026, 3:45 p.m.
PD Predicate disambiguation batch_69ad9611fc348190a5d17d237f653f60 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97f5d28c8190899d90204dc43428 completed March 8, 2026, 3:38 p.m.
Created at: March 8, 2026, 2:58 p.m.