Triple
T33911145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 37°2 le matin |
E869314
|
entity |
| Predicate | originalCountryPublisher |
P59831
|
FINISHED |
| Object | France |
E861
|
NE 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: France | Statement: [37°2 le matin, originalCountryPublisher, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCountryPublisher Context triple: [37°2 le matin, originalCountryPublisher, France]
-
A.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
-
B.
publisherCountryOfWork
chosen
Indicates the country where the publisher of a given work is based or operates.
-
C.
originalLanguagePublisher
Indicates that a publisher is responsible for releasing a work in its original language, before or apart from any translations.
-
D.
originalPublisherType
Indicates the type or category of the entity that first published or released the content.
-
E.
originalPublisherOfWholeWork
Indicates that one entity is the original publisher responsible for issuing the complete work as a whole.
- F. None of above.
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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a368226fe8c819099a2b332baab128a |
completed | June 20, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:48 a.m.