Triple
T5585711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Tulane |
E146749
|
entity |
| Predicate | yearOfMajorEndowment |
P3053
|
FINISHED |
| Object | 1882 |
—
|
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: 1882 | Statement: [Paul Tulane, yearOfMajorEndowment, 1882]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfMajorEndowment Context triple: [Paul Tulane, yearOfMajorEndowment, 1882]
-
A.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
B.
donationYear
chosen
Indicates the specific calendar year in which a donation or gift was made.
-
C.
awardingBodyFoundedIn
Indicates the year or date when the awarding body (the organization that grants awards) was established or founded.
-
D.
schoolFounded
Indicates that an educational institution was established or created at a specific time or by a particular founding entity.
-
E.
awardingBodyFounded
Indicates that an organization or entity established or created the awarding body in question.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020871a3c8190991f291295cadfa5 |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.