Triple
T1212754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government House, Bermuda |
E26037
|
entity |
| Predicate | governorRole |
P19321
|
FINISHED |
| Object | King’s representative in Bermuda |
—
|
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: King’s representative in Bermuda | Statement: [Government House, Bermuda, governorRole, King’s representative in Bermuda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorRole Context triple: [Government House, Bermuda, governorRole, King’s representative in Bermuda]
-
A.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
-
B.
governorAction
Indicates that a governor performs, initiates, or is responsible for a specific action or decision.
-
C.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
-
D.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
-
E.
governmentalRole
chosen
Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde6cb608190b77fc5c47083e4b7 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.