Triple
T26573390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Bajakajian |
E666884
|
entity |
| Predicate | typeOfForfeiture |
P192127
|
FINISHED |
| Object | criminal 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: criminal forfeiture | Statement: [United States v. Bajakajian, typeOfForfeiture, criminal forfeiture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfForfeiture Context triple: [United States v. Bajakajian, typeOfForfeiture, criminal forfeiture]
-
A.
reasonForForfeiture
Indicates the cause or justification that led to something being surrendered, lost, or taken away.
-
B.
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.
-
C.
typeOfSurrender
Indicates the specific manner or category of surrender that characterizes how one party yields or gives up to another.
-
D.
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.
-
E.
titleForfeited
Indicates that an entity has lost or been stripped of a title or formal designation it previously held.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
| PDg | Predicate description generation | batch_69fcf82405c88190a19cecf8e9cc272d |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 27, 2026, 1:59 a.m.