Triple
T4299840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Éleuthère Irénée du Pont |
E99805
|
entity |
| Predicate | foundationDateOfFoundedCompany |
P41
|
FINISHED |
| Object | 1802 |
—
|
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: 1802 | Statement: [Éleuthère Irénée du Pont, foundationDateOfFoundedCompany, 1802]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundationDateOfFoundedCompany Context triple: [Éleuthère Irénée du Pont, foundationDateOfFoundedCompany, 1802]
-
A.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
B.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
C.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
D.
associatedCompanyFoundedIn
Indicates that the related company was founded in the specified year or time period.
-
E.
foundedOn
chosen
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509e8cb481909ccca7992aac31a3 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.