Triple
T484875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of the Virgin Islands |
E9852
|
entity |
| Predicate | termTypeOfJudges |
P10518
|
FINISHED |
| Object | fixed term |
—
|
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: fixed term | Statement: [Supreme Court of the Virgin Islands, termTypeOfJudges, fixed term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termTypeOfJudges Context triple: [Supreme Court of the Virgin Islands, termTypeOfJudges, fixed term]
-
A.
judgesTerm
Indicates that one entity formally evaluates or makes a judgment about a specific term or expression.
-
B.
styleOfJudges
Indicates the characteristic manner or approach that judges use when performing their judging role.
-
C.
hasJudgeType
chosen
Indicates that an entity is associated with a specific category or type of judge.
-
D.
judicialRole
Indicates that one entity holds or performs a specific official function or position within the judicial system in relation to another entity or legal matter.
-
E.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bb46788190b40182bf2a54f98f |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf48ec08190b85d07e194f99c49 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.