Triple
T37365147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Analyse des infiniment petits pour l’intelligence des lignes courbes |
E927690
|
entity |
| Predicate | circaPublicationDate |
P187456
|
FINISHED |
| Object | June 1696 |
—
|
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: June 1696 | Statement: [Analyse des infiniment petits pour l’intelligence des lignes courbes, circaPublicationDate, June 1696]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circaPublicationDate Context triple: [Analyse des infiniment petits pour l’intelligence des lignes courbes, circaPublicationDate, June 1696]
-
A.
circaPeriodDescribed
Indicates that an entity is associated with or described as belonging to an approximate time period rather than an exact date.
-
B.
textPublicationApproxYear
chosen
Indicates that a text was published around a specified year, with the year representing an approximate rather than exact publication date.
-
C.
yearCirca
Indicates that the associated year is approximate or uncertain rather than exact.
-
D.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
E.
approximateYearWritten
Indicates the estimated calendar year in which something was written, when the exact year is not known.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.