Triple
T21493008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal conclave, 1700 |
E530282
|
entity |
| Predicate | electeeNationality |
P144587
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Papal conclave, 1700, electeeNationality, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electeeNationality Context triple: [Papal conclave, 1700, electeeNationality, Italian]
-
A.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
B.
debtorNationality
Indicates that the specified nationality is the country of citizenship or legal national affiliation of the debtor in the relationship.
-
C.
bearerNationality
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
D.
creditorNationality
Indicates that the creditor is associated with, or belongs to, a particular nationality.
-
E.
recipientNationality
Indicates that the recipient in a relationship or transaction has a specified national affiliation or citizenship.
- F. None of above. chosen
Provenance (4 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea54fb608190a147cd8aa6d6d04b |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:23 p.m.