Triple

T60802
Position Surface form Disambiguated ID Type / Status
Subject United States courts of appeals E1207 entity
Predicate reviews P1394 FINISHED
Object decisions of United States district courts 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: decisions of United States district courts | Statement: [United States courts of appeals, reviews, decisions of United States district courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reviews
Context triple: [United States courts of appeals, reviews, decisions of United States district courts]
  • A. peerReview
    Indicates that one entity evaluates, critiques, or validates the work or performance of another entity, typically as an equal in expertise or status.
  • B. reviewedBy chosen
    Indicates that an item, work, or action has been examined and evaluated by a specific agent or reviewer.
  • C. export
    Indicates that one entity sends goods, services, or data out from its own domain or territory to another entity or external destination.
  • D. criticalReception
    Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
  • E. approves
    Indicates that one entity formally accepts, authorizes, or agrees to a proposal, action, or decision made by another entity.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a251a1b8ac8190b44be4c3c41e5681 completed Feb. 28, 2026, 2:23 a.m.
PD Predicate disambiguation batch_69a24ea0bec48190b2af1fb287e9e692 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.