Triple

T26573344
Position Surface form Disambiguated ID Type / Status
Subject Austin v. United States E666883 entity
Predicate typeOfForfeitureInvolved P135132 FINISHED
Object civil in rem forfeiture 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: civil in rem forfeiture | Statement: [Austin v. United States, typeOfForfeitureInvolved, civil in rem forfeiture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfForfeitureInvolved
Context triple: [Austin v. United States, typeOfForfeitureInvolved, civil in rem forfeiture]
  • A. forfeitedBy
    Indicates that something (such as a right, claim, or asset) is lost or given up as a consequence of the actions or failure of a particular entity.
  • B. reasonForForfeiture
    Indicates the cause or justification that led to something being surrendered, lost, or taken away.
  • C. forfeitedTo
    Indicates that something previously held by one party has been lost or surrendered and transferred in ownership, control, or rights to another party, often as a penalty or consequence.
  • D. partlyForfeitedTo
    Indicates that an entity has relinquished or lost a portion of its rights, ownership, or claim to another entity.
  • E. typeOfSurrender chosen
    Indicates the specific manner or category of surrender that characterizes how one party yields or gives up to another.
  • 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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69fcf36d2894819089b7db8e91b63c9d completed May 7, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69fcf25c0a108190bfa823474098640b completed May 7, 2026, 8:13 p.m.
Created at: April 27, 2026, 1:59 a.m.