Triple
T25604601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Governor of North Dakota |
E641874
|
entity |
| Predicate | administersFor |
P168893
|
FINISHED |
| Object | Governor of North Dakota |
—
|
NE NERFINISHED |
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: Governor of North Dakota | Statement: [Office of the Governor of North Dakota, administersFor, Governor of North Dakota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administersFor Context triple: [Office of the Governor of North Dakota, administersFor, Governor of North Dakota]
-
A.
administersFrom
Indicates that an action, service, or process is carried out or managed starting from a particular source, location, or authority.
-
B.
administeredFor
Indicates that something (typically a treatment, medication, or intervention) is given or applied to an entity for a specific purpose, condition, or intended effect.
-
C.
administeredBy
Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
-
D.
administeredAs
Indicates that one entity is given or applied to another entity as a treatment, dose, or intervention.
-
E.
coAdministersWith
Indicates that one entity is administered together with another entity, typically at the same time or as part of the same treatment or process.
- F. None of above. chosen
Provenance (4 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 21, 2026, 4:37 p.m.