Triple
T34161895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bölverk |
E876299
|
entity |
| Predicate | offersServiceInExchangeFor |
P195653
|
FINISHED |
| Object | a drink of the mead of poetry |
—
|
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: a drink of the mead of poetry | Statement: [Bölverk, offersServiceInExchangeFor, a drink of the mead of poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersServiceInExchangeFor Context triple: [Bölverk, offersServiceInExchangeFor, a drink of the mead of poetry]
-
A.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
B.
offersServiceTo
Indicates that one entity provides or makes a service available for the benefit or use of another entity.
-
C.
offersServiceOn
Indicates that one entity provides or makes a service available on, during, or through another entity (such as a platform, date, or location).
-
D.
offersInterface
Indicates that one entity provides or exposes a specific interface that another entity can use or interact with.
-
E.
offersExchangeOpportunities
Indicates that one entity provides chances for another entity to participate in exchanges, such as trading, swapping, or reciprocal programs.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
| PDg | Predicate description generation | batch_69fddd364c1481908794c9d423bdc2d7 |
completed | May 8, 2026, 12:55 p.m. |
Created at: May 1, 2026, 1:54 a.m.