Triple
T484872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of the Virgin Islands |
E9852
|
entity |
| Predicate | judgeTitle |
P38
|
FINISHED |
| Object | Justice |
—
|
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: Justice | Statement: [Supreme Court of the Virgin Islands, judgeTitle, Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgeTitle Context triple: [Supreme Court of the Virgin Islands, judgeTitle, Justice]
-
A.
judge
Indicates that one entity evaluates, forms an opinion about, or makes a decision regarding another entity or situation.
-
B.
decidesTitle
Indicates that one entity determines or selects the official title or name assigned to another entity.
-
C.
judgesTerm
Indicates that one entity formally evaluates or makes a judgment about a specific term or expression.
-
D.
title
chosen
Indicates that one entity serves as the formal name or designation of another entity.
-
E.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
- 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.