Triple

T11611715
Position Surface form Disambiguated ID Type / Status
Subject Social Pension for Indigent Senior Citizens E275398 entity
Predicate beneficiaryStatus P22506 FINISHED
Object non-contributory 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: non-contributory | Statement: [Social Pension for Indigent Senior Citizens, beneficiaryStatus, non-contributory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beneficiaryStatus
Context triple: [Social Pension for Indigent Senior Citizens, beneficiaryStatus, non-contributory]
  • A. beneficiaryType chosen
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • B. beneficiaryStates
    Indicates that certain states receive benefits, advantages, or positive outcomes from a particular action, event, or arrangement.
  • C. beneficiaryRequirement
    Indicates that one entity has a requirement specifying who or what must be the beneficiary of a particular action, service, or resource.
  • D. beneficiaryRole
    Indicates that one entity serves as the beneficiary or recipient of an action, service, or resource provided by another entity.
  • E. beneficiaryChangeAllowed
    Indicates that changing or updating the designated beneficiary is permitted under the relevant rules or agreement.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a043a3c08190a20cbc2ba5a8d218 completed April 10, 2026, 7:01 a.m.
PD Predicate disambiguation batch_69d85dd6503c819081f9045e9d5c4f3f completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.