Triple
T125522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Reports |
E2539
|
entity |
| Predicate | citationContext |
P36
|
FINISHED |
| Object | historical citations to U.S. Supreme Court cases |
—
|
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: historical citations to U.S. Supreme Court cases | Statement: [Black Reports, citationContext, historical citations to U.S. Supreme Court cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationContext Context triple: [Black Reports, citationContext, historical citations to U.S. Supreme Court cases]
-
A.
citation
Indicates that one entity references, quotes, or otherwise acknowledges another entity as a source of information or authority.
-
B.
context
chosen
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
C.
citationStyle
Indicates the specific formatting and referencing conventions used to cite sources in a document or publication.
-
D.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
E.
mentions
Indicates that one entity refers to, cites, or brings up another entity in some form of communication or content.
- 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.