Triple
T25635755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Rules of Professional Conduct |
E642692
|
entity |
| Predicate | citationFormIncludes |
P21790
|
FINISHED |
| Object | Tenn. Sup. Ct. R. |
—
|
NE NERFINISHED |
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: Tenn. Sup. Ct. R. | Statement: [Tennessee Rules of Professional Conduct, citationFormIncludes, Tenn. Sup. Ct. R.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationFormIncludes Context triple: [Tennessee Rules of Professional Conduct, citationFormIncludes, Tenn. Sup. Ct. R.]
-
A.
citationFormatIncludes
chosen
Indicates that a particular citation format specification contains or incorporates a given element, rule, or component as part of its structure.
-
B.
hasCitationForm
Indicates that an entity is associated with a specific standardized form used for citing or referencing it.
-
C.
citationFormExample
Indicates that an example is provided illustrating the standard or canonical citation form of an expression or lexical item.
-
D.
citationsInclude
Indicates that one entity’s set of references or citations contains or explicitly mentions another entity.
-
E.
citationType
Indicates the specific kind or category of citation relationship that one entity has to another (e.g., reference, quotation, acknowledgment).
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa60db0c8190b5c615e6dc35264a |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 5:22 p.m.