Triple
T11084910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Gratiot |
E262092
|
entity |
| Predicate | partyTypeOfPlaintiff |
P26870
|
FINISHED |
| Object | federal government |
—
|
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: federal government | Statement: [United States v. Gratiot, partyTypeOfPlaintiff, federal government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyTypeOfPlaintiff Context triple: [United States v. Gratiot, partyTypeOfPlaintiff, federal government]
-
A.
partyTypePlaintiffs
chosen
Indicates the classification or category of the parties serving as plaintiffs in a legal action.
-
B.
partyToCase
Indicates that an entity is involved in a legal case as one of its formal participants (e.g., plaintiff, defendant, or other party).
-
C.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
-
D.
litigationType
Indicates the specific category or nature of a legal dispute or court case associated with an entity or event.
-
E.
namedPartyType
Indicates the specific role or category that a referenced party holds within a given context or relationship.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c2c7d4819087ac793153340178 |
completed | April 9, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.