Triple
T12041973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nepomuk |
E286683
|
entity |
| Predicate | grantedMarketRightsIn |
P28722
|
FINISHED |
| Object | 1384 |
—
|
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: 1384 | Statement: [Nepomuk, grantedMarketRightsIn, 1384]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedMarketRightsIn Context triple: [Nepomuk, grantedMarketRightsIn, 1384]
-
A.
grantedIn
chosen
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
B.
hasMarketRole
Indicates that an entity holds or performs a specific functional role within a market or marketplace context.
-
C.
grantedRightsType
Indicates the specific category or nature of rights that have been granted in a given permission or authorization relationship.
-
D.
grantedTo
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
E.
hasFranchiseRightsGrantedBy
Indicates that one party has been granted the legal rights to operate or exploit a franchise by another granting authority.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.