Triple
T223756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Académie des Sciences |
E4271
|
entity |
| Predicate | centuryOfFoundation |
P1824
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Académie des Sciences, centuryOfFoundation, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centuryOfFoundation Context triple: [Académie des Sciences, centuryOfFoundation, 17th century]
-
A.
foundedInCentury
chosen
Indicates that an entity was established or came into existence during a specified century.
-
B.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
C.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
D.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
-
E.
foundedAfter
Indicates that one entity was founded at a later time than another entity.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b5739dc8190bad8bfa330ce0499 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.