Triple
T31308256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York courts |
E798391
|
entity |
| Predicate | usesCitationSystem |
P49400
|
FINISHED |
| Object | New York Official Reports citation style |
—
|
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: New York Official Reports citation style | Statement: [New York courts, usesCitationSystem, New York Official Reports citation style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCitationSystem Context triple: [New York courts, usesCitationSystem, New York Official Reports citation style]
-
A.
hasCitationSystem
chosen
Indicates that one entity uses, follows, or is governed by a particular citation or referencing system defined by another entity.
-
B.
usesCitation
Indicates that one entity supports or references its content by citing another entity as a source.
-
C.
usesCitationFormat
Indicates that one entity applies or follows a specific citation or referencing format defined by another entity.
-
D.
hasCitationPractice
Indicates that an entity follows or exhibits a particular way or pattern of citing sources or references.
-
E.
citationSystem
Indicates a relationship where one entity specifies or uses a particular system, style, or standard for formatting and managing citations.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 29, 2026, 9:14 p.m.