Triple

T28554817
Position Surface form Disambiguated ID Type / Status
Subject National Civic Service Authority E722975 entity
Predicate serviceBeneficiaries P7910 FINISHED
Object Israeli public institutions 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: Israeli public institutions | Statement: [National Civic Service Authority, serviceBeneficiaries, Israeli public institutions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceBeneficiaries
Context triple: [National Civic Service Authority, serviceBeneficiaries, Israeli public institutions]
  • A. beneficiaries chosen
    Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
  • B. eligibleBeneficiaries
    Indicates that certain parties meet the required conditions to receive benefits or entitlements under a given rule or program.
  • C. beneficiaryProvision
    Indicates that one entity provides something (such as goods, services, or benefits) for the advantage or benefit of another entity.
  • D. estimatedNumberOfBeneficiaries
    Indicates the approximate count of individuals or entities expected to receive benefits from something.
  • E. beneficialMembers
    Indicates that certain members of a group have a positive or advantageous effect on the group or on other entities.
  • 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_69f01a60204481909af1bb76247b8221 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 28, 2026, 3:45 a.m.