Triple
T15721967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleonore of Austria |
E381116
|
entity |
| Predicate | endTime (queen consort of Portugal) |
P22338
|
FINISHED |
| Object | 1521 |
—
|
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: 1521 | Statement: [Eleonore of Austria, endTime (queen consort of Portugal), 1521]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (queen consort of Portugal) Context triple: [Eleonore of Austria, endTime (queen consort of Portugal), 1521]
-
A.
reignAsQueenConsortOfPortugalEnd
Indicates the time or event at which an individual’s tenure as queen consort of Portugal comes to an end.
-
B.
endTimeAsQueenConsort
chosen
Indicates the date and time at which an individual’s tenure as queen consort comes to an end.
-
C.
endTimeOfPosition Electress consort of Brandenburg
Indicates the point in time at which a person’s tenure as Electress consort of Brandenburg comes to an end.
-
D.
endTime (as Duchess of Brittany)
Indicates the time at which the person’s tenure or role as Duchess of Brittany came to an end.
-
E.
endTime (Empress of Mexico)
Indicates the point in time at which the tenure or role of the Empress of Mexico comes to an end.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb0b51081908e652ec4992296fa |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.