Triple
T25063919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary of State of West Virginia |
E627732
|
entity |
| Predicate | documentAuthenticationFunction |
P157921
|
FINISHED |
| Object | issues apostilles and certifications for documents |
—
|
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: issues apostilles and certifications for documents | Statement: [Secretary of State of West Virginia, documentAuthenticationFunction, issues apostilles and certifications for documents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentAuthenticationFunction Context triple: [Secretary of State of West Virginia, documentAuthenticationFunction, issues apostilles and certifications for documents]
-
A.
documentSignedBy
Indicates that a document has been formally signed or authorized by a specific entity.
-
B.
recognizesDocument
Indicates that one entity acknowledges the validity or authenticity of a document associated with another entity.
-
C.
confirmationDocument
Indicates that there exists a document serving as formal confirmation or verification of an action, event, or agreement between entities.
-
D.
dataDiFirma
Indicates the date on which a document or agreement was signed.
-
E.
documentAtIssue
Indicates that a particular document is the specific item under consideration or dispute in a given context or proceeding.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4599c81148190b84e8d46368a6677 |
completed | May 1, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:10 a.m.