Triple
T622959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi University for Women v. Hogan |
E14552
|
entity |
| Predicate | USReportsVolume |
P3130
|
FINISHED |
| Object | 458 |
—
|
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: 458 | Statement: [Mississippi University for Women v. Hogan, USReportsVolume, 458]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USReportsVolume Context triple: [Mississippi University for Women v. Hogan, USReportsVolume, 458]
-
A.
volumeInUnitedStatesReports
chosen
Indicates that a legal case or decision is published in a specified volume of the United States Reports.
-
B.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
C.
numberOfVolumes
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
D.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
-
E.
officiallyReports
Indicates that one entity formally provides information, updates, or accountability to another entity within an official or authorized reporting structure.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e41753881909f0faed720cc31bc |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49d0069d0819087c83b608f6fc053 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.