Triple
T570199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dall. |
E13644
|
entity |
| Predicate | volumeNumbering |
P5040
|
FINISHED |
| Object | corresponds to early volumes of United States Reports |
—
|
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: corresponds to early volumes of United States Reports | Statement: [Dall., volumeNumbering, corresponds to early volumes of United States Reports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeNumbering Context triple: [Dall., volumeNumbering, corresponds to early volumes of United States Reports]
-
A.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
B.
seriesVolumeNumber
chosen
Indicates the specific volume number assigned to an item within an ordered series.
-
C.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
D.
titleNumber
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
E.
beganOfficialNumberingWith
Indicates that an entity started its formal or official numbering sequence with a specified initial number or identifier.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b057e708190b4e5975516e58993 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.