Triple
T16553204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het puttertje |
E402123
|
entity |
| Predicate | publisherOfDutchEdition |
P124034
|
FINISHED |
| Object | (unspecified Dutch publisher) |
—
|
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: (unspecified Dutch publisher) | Statement: [Het puttertje, publisherOfDutchEdition, (unspecified Dutch publisher)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publisherOfDutchEdition Context triple: [Het puttertje, publisherOfDutchEdition, (unspecified Dutch publisher)]
-
A.
publisherOfGermanEdition
Indicates that an entity serves as the publisher responsible for the German-language edition of a given work.
-
B.
publisherOfEnglishEdition
Indicates that an entity serves as the publisher responsible for the English-language edition of another work or resource.
-
C.
publisherOfFrenchEdition
Indicates that an entity serves as the publisher responsible for the French-language edition of another work or resource.
-
D.
publisherOf1993Edition
Indicates that an entity served as the publisher responsible for the 1993 edition of a given work.
-
E.
publisherOfCollectedEdition
Indicates that an entity serves as the publisher responsible for issuing a collected edition of a work or set of works.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc737ac8190b755e2a39b6ef32b |
completed | April 18, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.