Triple

T85025
Position Surface form Disambiguated ID Type / Status
Subject Agricultural Adjustment Administration E1710 entity
Predicate notablePolicyArea P1876 FINISHED
Object farm subsidies 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: farm subsidies | Statement: [Agricultural Adjustment Administration, notablePolicyArea, farm subsidies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notablePolicyArea
Context triple: [Agricultural Adjustment Administration, notablePolicyArea, farm subsidies]
  • A. policyFocus chosen
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • B. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • C. notableStateConcentration
    Indicates that a significant portion of the instances or activity of something is concentrated within a particular state or region.
  • D. notableStandard
    Indicates that one entity is a widely recognized or influential standard that the other entity is associated with or exemplifies.
  • E. notableCommunity
    Indicates that an entity is a particularly prominent or significant member of a given community.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a250e401288190ba12322c9c5f07c9 completed Feb. 28, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69a24eb59e808190811c20518f39b1cc completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.