Triple
T125428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheaton Reports |
E2536
|
entity |
| Predicate | citationIncorporatedInto |
P4420
|
FINISHED |
| Object | United States Reports dual citation system |
—
|
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: United States Reports dual citation system | Statement: [Wheaton Reports, citationIncorporatedInto, United States Reports dual citation system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationIncorporatedInto Context triple: [Wheaton Reports, citationIncorporatedInto, United States Reports dual citation system]
-
A.
citation
Indicates that one entity references, quotes, or otherwise acknowledges another entity as a source of information or authority.
-
B.
publishedIn
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
-
C.
fieldOfPublication
Indicates the academic or topical area in which a work is published.
-
D.
legalCitation
chosen
Indicates that one legal document, case, or authority formally references or cites another as a source of legal support or precedent.
-
E.
peerReviewed
Indicates that a work, study, or submission has been evaluated and critiqued by qualified experts in the same field before acceptance or publication.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573e4e6481908252dfef2e34f46e |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564a54948190ba30bee858173b27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.