Triple
T25610823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presses Universitaires de France |
E642042
|
entity |
| Predicate | isMajorPublisherIn |
P22346
|
FINISHED |
| Object | French-speaking academic world |
—
|
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: French-speaking academic world | Statement: [Presses Universitaires de France, isMajorPublisherIn, French-speaking academic world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorPublisherIn Context triple: [Presses Universitaires de France, isMajorPublisherIn, French-speaking academic world]
-
A.
publisherForMajorTitles
Indicates that an entity serves as the primary publisher responsible for releasing another entity’s major or most significant titles.
-
B.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
C.
isMajorCompanyIn
chosen
Indicates that a company is a leading or dominant business entity within a specified country, region, or market.
-
D.
publisherType
Indicates the classification or category of a publisher in relation to a published work or entity.
-
E.
correctedEditionPublisher
Indicates that a publisher is responsible for issuing a corrected edition of a previously published work.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 21, 2026, 4:41 p.m.