Triple
T5416032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elko County, Idaho (historical region context) |
E121132
|
entity |
| Predicate | currentAdministrativeRole |
P31289
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Elko County, Idaho (historical region context), currentAdministrativeRole, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentAdministrativeRole Context triple: [Elko County, Idaho (historical region context), currentAdministrativeRole, none]
-
A.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
B.
eraOfCurrentRole
Indicates the historical or temporal era during which the entity’s current role or position is held.
-
C.
positionOnGovernmentRole
chosen
Indicates that an entity holds or is assigned to a specific role or office within a government structure.
-
D.
ordinationRole
Indicates the specific religious or ceremonial office, function, or capacity in which an entity is formally ordained.
-
E.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bff75881909bdfd2cdf7ff5657 |
completed | March 20, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.