Triple

T1166845
Position Surface form Disambiguated ID Type / Status
Subject Supplemental Security Income E24816 entity
Predicate resourceLimit P16655 FINISHED
Object low personal assets threshold 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: low personal assets threshold | Statement: [Supplemental Security Income, resourceLimit, low personal assets threshold]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resourceLimit
Context triple: [Supplemental Security Income, resourceLimit, low personal assets threshold]
  • A. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • B. gLimit chosen
    Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
  • C. reasonForPerformanceLimitation
    Indicates that one factor serves as the cause or explanation for why a performance limitation occurs.
  • D. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • E. limitedSystemType
    Indicates that the system is restricted to a specific subset or category of system types, rather than allowing all possible types.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccd75048190b8ce88237c1a748b completed March 1, 2026, 10:25 p.m.
PD Predicate disambiguation batch_69a4bb548c1481909092626c572d8782 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.