Triple

T35977897
Position Surface form Disambiguated ID Type / Status
Subject Babylonian Talmudic academies E1040473 entity
Predicate followedLegalTradition P17298 FINISHED
Object Halakha NE NERFINISHED

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: Halakha | Statement: [Babylonian Talmudic academies, followedLegalTradition, Halakha]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followedLegalTradition
Context triple: [Babylonian Talmudic academies, followedLegalTradition, Halakha]
  • A. hasLawTradition chosen
    Indicates that one legal system, jurisdiction, or entity follows or is based on a particular legal tradition or family of law.
  • B. legalTraditionInfluenced
    Indicates that one legal tradition has had a formative or shaping influence on the development, principles, or practices of another legal tradition.
  • C. coexistingLegalTradition
    Indicates that multiple legal traditions or systems exist and operate simultaneously within the same social or institutional context.
  • D. legalTraditionsTaught
    Indicates that one entity teaches, covers, or includes specific legal traditions in its instruction or curriculum.
  • E. involvedInLegalDoctrine
    Indicates that an entity plays a role in the formation, interpretation, application, or development of a particular legal doctrine.
  • 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_69f76e27758c81909b711cf38a130aaf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff21cbd9108190a52c0ba42004c669 completed May 9, 2026, noon
PD Predicate disambiguation batch_69ff1faea91881908c626c70bca5100a completed May 9, 2026, 11:51 a.m.
Created at: May 3, 2026, 4:07 p.m.