Triple
T9231260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judiciary Act of 1869 |
E221820
|
entity |
| Predicate | setsNumberOf |
P87695
|
FINISHED |
| Object | justices of the Supreme Court of the United States |
—
|
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: justices of the Supreme Court of the United States | Statement: [Judiciary Act of 1869, setsNumberOf, justices of the Supreme Court of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsNumberOf Context triple: [Judiciary Act of 1869, setsNumberOf, justices of the Supreme Court of the United States]
-
A.
setsMaximum
Indicates that one entity establishes an upper limit or maximum allowable value for another entity or quantity.
-
B.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
-
C.
standardSetSize
Indicates that there is a defined or typical number of elements that constitute the standard size for a given set.
-
D.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
E.
workNumberInSet
Indicates that a particular work number belongs to, or is included within, a specified set of work numbers.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee190204819096b38270a0abc116 |
completed | April 1, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:29 p.m.