Triple

T12110500
Position Surface form Disambiguated ID Type / Status
Subject conservative coalition in Congress E288415 entity
Predicate positionOnSpending P103344 FINISHED
Object favored reduced federal spending 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: favored reduced federal spending | Statement: [conservative coalition in Congress, positionOnSpending, favored reduced federal spending]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnSpending
Context triple: [conservative coalition in Congress, positionOnSpending, favored reduced federal spending]
  • A. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • B. spendSize
    Indicates the amount or magnitude of spending associated with an entity or transaction.
  • C. authorizedSpending
    Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
  • D. positionOnTaxation
    Indicates a stance or viewpoint an entity holds regarding tax policies, levels, or structures.
  • E. expenditureFor
    Indicates a relationship where a specific expenditure is made or allocated for a particular purpose, item, project, or entity.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9164ada5081908676bd9e5947268a completed April 10, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69d9150497408190921334d21503375a completed April 10, 2026, 3:19 p.m.
PDg Predicate description generation batch_69d916481a008190ae66677b9e6dd961 completed April 10, 2026, 3:24 p.m.
Created at: April 8, 2026, 9:49 p.m.