Triple
T6165875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barron v. Baltimore |
E137556
|
entity |
| Predicate | volumeInPetersReports |
P69161
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Barron v. Baltimore, volumeInPetersReports, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeInPetersReports Context triple: [Barron v. Baltimore, volumeInPetersReports, 7]
-
A.
volumeInUnitedStatesReports
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.
estimatedVolumeOfWritings
Indicates the approximate total quantity or volume of writings attributed to or produced by an entity.
-
D.
reportsThrough
Indicates that one entity formally communicates and is accountable to another entity through an established reporting or supervisory chain.
-
E.
reportsWithin
Indicates that one entity submits or delivers a report to another entity within a specified time frame or boundary.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d6225bc819097707be620681e7b |
completed | March 22, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:17 p.m.