Triple
T11628893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palais de l’Institut de France |
E276344
|
entity |
| Predicate | foundedAsSeatOfInstitut |
P80671
|
FINISHED |
| Object | 1795 |
—
|
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: 1795 | Statement: [Palais de l’Institut de France, foundedAsSeatOfInstitut, 1795]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsSeatOfInstitut Context triple: [Palais de l’Institut de France, foundedAsSeatOfInstitut, 1795]
-
A.
foundedAtInstitution
Indicates that an entity (such as an organization, company, or group) was established or created at a particular institution.
-
B.
alsoSeatOf
chosen
Indicates that a location serves as an additional or alternative seat (e.g., of government, administration, or authority) alongside another primary seat.
-
C.
foundedWithInstitution
Indicates that an entity was established or created in conjunction with, or through the involvement of, a particular institution.
-
D.
foundedAsUniversityIn
Indicates that an institution was originally established as a university in a specific year or time period.
-
E.
foundingLocationOfFoundedOrganization
Indicates the place where an organization was originally established or founded.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:39 p.m.