Triple
T1554927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benton County Circuit Court |
E33180
|
entity |
| Predicate | trialLevel |
P9881
|
FINISHED |
| Object | court of first instance |
—
|
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: court of first instance | Statement: [Benton County Circuit Court, trialLevel, court of first instance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trialLevel Context triple: [Benton County Circuit Court, trialLevel, court of first instance]
-
A.
trial
Indicates that an entity is the subject of a legal or formal judicial proceeding to determine guilt, liability, or resolution of a dispute.
-
B.
trialCourt
chosen
Indicates that a legal matter, decision, or proceeding is associated with, handled by, or occurring in a court of first instance (the trial-level court).
-
C.
trialYear
Indicates the calendar year in which a particular trial takes place or is conducted.
-
D.
trialHeldIn
Indicates that a legal trial took place or was conducted within a specified location or jurisdiction.
-
E.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.