Triple
T739939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corfield v. Coryell |
E15220
|
entity |
| Predicate | hasReporterCitation |
P17212
|
FINISHED |
| Object | 6 F. Cas. 546 |
—
|
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: 6 F. Cas. 546 | Statement: [Corfield v. Coryell, hasReporterCitation, 6 F. Cas. 546]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReporterCitation Context triple: [Corfield v. Coryell, hasReporterCitation, 6 F. Cas. 546]
-
A.
hasFullCitation
chosen
Indicates that an entity is associated with a complete and properly formatted bibliographic reference.
-
B.
hasCitationImpact
Indicates that one entity (such as a publication, author, or venue) exerts measurable influence on scholarly work through citations it receives or generates.
-
C.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
-
D.
citationBy
Indicates that one work is cited or referenced by another work.
-
E.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.