Triple

T1224197
Position Surface form Disambiguated ID Type / Status
Subject Federal Work-Study Program E26288 entity
Predicate incomeTreatment P26019 FINISHED
Object earnings considered in future need analysis with protections 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: earnings considered in future need analysis with protections | Statement: [Federal Work-Study Program, incomeTreatment, earnings considered in future need analysis with protections]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: incomeTreatment
Context triple: [Federal Work-Study Program, incomeTreatment, earnings considered in future need analysis with protections]
  • A. salary
    Indicates the amount of monetary compensation an entity receives, typically on a regular basis, for work or services performed.
  • B. incomeMeasure
    Indicates a relationship where one entity serves as a measure or metric of another entity’s income.
  • C. usedInTaxPayments
    Indicates that something is employed or applied as part of making or fulfilling tax payments.
  • D. salaryType
    Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
  • E. compensationCategory
    Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
  • F. None of above. chosen

Provenance (4 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be233fd88190996faf4105c0b8d7 completed March 1, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69a4bb644af08190ba25905f20adb01a completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bd3140688190ac6e24de157fd61e completed March 1, 2026, 10:26 p.m.
Created at: March 1, 2026, 7:47 p.m.