Triple
T45196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Virgin Islands |
E887
|
entity |
| Predicate | residentCommissionerTitle |
P1555
|
FINISHED |
| Object | Delegate to the U.S. House of Representatives |
—
|
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: Delegate to the U.S. House of Representatives | Statement: [U.S. Virgin Islands, residentCommissionerTitle, Delegate to the U.S. House of Representatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residentCommissionerTitle Context triple: [U.S. Virgin Islands, residentCommissionerTitle, Delegate to the U.S. House of Representatives]
-
A.
commissionerTitle
chosen
Indicates the official title or designation held by a person serving in the role of commissioner.
-
B.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
-
C.
civilianLeaderTitle
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
-
D.
commanderTitle
Indicates the official rank or title held by the person who commands or leads a given entity.
-
E.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24ba7016481909d595402712db6e2 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24abbd32c81908cec461d9097662e |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.