Triple

T29277147
Position Surface form Disambiguated ID Type / Status
Subject Internal Revenue Allotment system E742273 entity
Predicate allocationFormulaIncludes P152374 FINISHED
Object population 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: population | Statement: [Internal Revenue Allotment system, allocationFormulaIncludes, population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allocationFormulaIncludes
Context triple: [Internal Revenue Allotment system, allocationFormulaIncludes, population]
  • A. allocationType
    Indicates the specific manner or category by which resources, responsibilities, or items are assigned or distributed among entities.
  • B. calculationIncludes chosen
    Indicates that a particular calculation incorporates or takes into account a specified element, factor, or component as part of its computation.
  • C. allocationShare
    Indicates the proportion or portion of a total resource, amount, or benefit that is assigned to a particular entity within an allocation.
  • D. allocation
    Indicates the distribution or assignment of resources, responsibilities, or items among entities according to some rule or plan.
  • E. grantIncludes
    Indicates that a particular grant encompasses, covers, or contains a specified component, item, or provision as part of its scope.
  • 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_69f0912124d48190a046642b69407f4c completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f665130c7081908d42c2d803ed47d1 completed May 2, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69f663362c008190a22afed262f1e426 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 12:51 p.m.