Triple
T35130971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common European Framework of Reference for Languages |
E1014432
|
entity |
| Predicate | companionVolumePublicationDate |
P193436
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Common European Framework of Reference for Languages, companionVolumePublicationDate, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companionVolumePublicationDate Context triple: [Common European Framework of Reference for Languages, companionVolumePublicationDate, 2018]
-
A.
hasCompanionBook
Indicates that one entity (typically a primary work) is associated with another entity that serves as its companion book, providing supplementary or related content.
-
B.
volume1PublicationYear
Indicates the year in which the first volume of a multi-volume work was published.
-
C.
volume2PublicationYear
Indicates the year in which the second volume of a work was published.
-
D.
finalVolumePublicationYear
Indicates the year in which the final volume of a multi-part work was published.
-
E.
publisherOfCompanionBook
Indicates that an entity serves as the publisher responsible for producing and releasing a specific companion book.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
| PDg | Predicate description generation | batch_69fd474a71648190b6b6ae4991db81b1 |
completed | May 8, 2026, 2:15 a.m. |
Created at: May 3, 2026, 4:02 p.m.