Triple

T126009
Position Surface form Disambiguated ID Type / Status
Subject Wickard v. Filburn E2551 entity
Predicate heldThat P6511 FINISHED
Object homegrown wheat for on-farm use could affect national wheat markets in the aggregate 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: homegrown wheat for on-farm use could affect national wheat markets in the aggregate | Statement: [Wickard v. Filburn, heldThat, homegrown wheat for on-farm use could affect national wheat markets in the aggregate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: heldThat
Context triple: [Wickard v. Filburn, heldThat, homegrown wheat for on-farm use could affect national wheat markets in the aggregate]
  • A. held
    Indicates that one entity physically grasped, carried, or kept another entity in its possession or control.
  • B. holding
    Indicates that one entity is physically grasping, carrying, or keeping another entity in its possession or control.
  • C. hadFort
    Indicates that an entity possessed, controlled, or contained a fort at some time.
  • D. recordHeld
    Indicates that one entity possesses or maintains a particular record associated with another entity or context.
  • E. lastHolder
    Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a25760af348190bf402089c240887d completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a2564c11208190ad25495609d94d87 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2575d8a648190ad8e10d4b04e5e07 completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.