Triple

T4426055
Position Surface form Disambiguated ID Type / Status
Subject Lifeline program E95211 entity
Predicate benefitLimitation P99 FINISHED
Object one Lifeline benefit per household 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: one Lifeline benefit per household | Statement: [Lifeline program, benefitLimitation, one Lifeline benefit per household]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitLimitation
Context triple: [Lifeline program, benefitLimitation, one Lifeline benefit per household]
  • A. hasLimitation chosen
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • B. hasBenefit
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • C. showsLimitationOf
    Indicates that one entity reveals, demonstrates, or makes apparent the limitations, weaknesses, or constraints of another entity.
  • D. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • E. benefitAdministered
    Indicates that a benefit (such as aid, service, or entitlement) has been formally provided or delivered to an eligible recipient by an administering party.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554e40ec8190982acc0948da2f42 completed March 13, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69b34f5eabe88190a12b244ea71e46d6 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:30 p.m.