Triple

T5482536
Position Surface form Disambiguated ID Type / Status
Subject Bnei Menashe E123499 entity
Predicate governmentInteraction P12442 FINISHED
Object subject to immigration policies of Israel 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: subject to immigration policies of Israel | Statement: [Bnei Menashe, governmentInteraction, subject to immigration policies of Israel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentInteraction
Context triple: [Bnei Menashe, governmentInteraction, subject to immigration policies of Israel]
  • A. governmentInvolvement
    Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
  • B. governmentAction chosen
    Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
  • C. countryGovernment
    Indicates the type or form of government that exercises authority over a given country.
  • D. governmentCategory
    Indicates the type or classification of a government associated with an entity.
  • E. branchOfGovernmentInvolved
    Indicates which branch of government (e.g., executive, legislative, judicial) is involved in or responsible for a given action, decision, or matter.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd93e5d0f08190a6cc9fc408b7c5bb completed March 20, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69bd91a73b148190a865243536a4fe76 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:09 p.m.