Triple
T446302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peters |
E7028
|
entity |
| Predicate | reportSeriesNumbering |
P5040
|
FINISHED |
| Object | volumes 26–41 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: volumes 26–41 of United States Reports | Statement: [Peters, reportSeriesNumbering, volumes 26–41 of United States Reports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportSeriesNumbering Context triple: [Peters, reportSeriesNumbering, volumes 26–41 of United States Reports]
-
A.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
B.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
C.
lastSeriesIssued
Indicates that the related entity is the most recent or final series that has been issued in a sequence.
-
D.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
E.
seriesVolumeNumber
chosen
Indicates the specific volume number assigned to an item within an ordered series.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef62c7a88190851fcd57658b4102 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2eddfb5508190a4e06e1b260d8b2b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.