Triple
T14317345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States state courts |
E354990
|
entity |
| Predicate | typicalLowestLevel |
P113950
|
FINISHED |
| Object | limited jurisdiction trial courts |
—
|
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: limited jurisdiction trial courts | Statement: [United States state courts, typicalLowestLevel, limited jurisdiction trial courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLowestLevel Context triple: [United States state courts, typicalLowestLevel, limited jurisdiction trial courts]
-
A.
lowerLevelServes
Indicates that a lower-level component, service, or entity provides functionality or support to a higher-level component, service, or entity.
-
B.
traditionalLevel
Indicates the degree to which something adheres to established customs, practices, or traditions.
-
C.
lowestCategory
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
-
D.
typicalEquipmentLevel
Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
-
E.
lowestWorld
Indicates that the referenced world has the minimal value (e.g., in rank, cost, or some ordering) among a set of worlds.
- F. None of above. chosen
Provenance (4 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.