Triple
T30407239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | renBCH |
E773511
|
entity |
| Predicate | issuerProtocol |
P175370
|
FINISHED |
| Object | RenVM |
—
|
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: RenVM | Statement: [renBCH, issuerProtocol, RenVM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerProtocol Context triple: [renBCH, issuerProtocol, RenVM]
-
A.
issuerType
Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
-
B.
issuerProduces
Indicates that an issuer creates, generates, or brings into existence a particular product, document, asset, or item.
-
C.
issuerMainPlatform
Indicates that an entity serves as the primary platform or main environment through which an issuer operates, offers, or manages its services or instruments.
-
D.
issuerOrganization
Indicates the organization that formally issues, grants, or authorizes a document, credential, or item.
-
E.
issuerOperatesService
Indicates that an issuer is responsible for operating or running a particular service.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 29, 2026, 8:04 p.m.