Triple
T570184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dall. |
E13644
|
entity |
| Predicate | reporterSeriesOrder |
P6115
|
FINISHED |
| Object | first United States Supreme Court reporter |
—
|
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: first United States Supreme Court reporter | Statement: [Dall., reporterSeriesOrder, first United States Supreme Court reporter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reporterSeriesOrder Context triple: [Dall., reporterSeriesOrder, first United States Supreme Court reporter]
-
A.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
B.
placeInSeries
chosen
Indicates the position or order that something occupies within a sequence or series.
-
C.
seriesAuthor
Indicates that an entity is the author or primary creator of a series (such as a book, comic, or media series).
-
D.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
-
E.
seriesType
Indicates the classification or category of a series that an entity belongs to or is associated with.
- 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.