Triple
T37761465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria José of Savoy |
E941284
|
entity |
| Predicate | endTime (reign as queen consort of Italy) |
P22338
|
FINISHED |
| Object | 1946-06-12 |
—
|
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: 1946-06-12 | Statement: [Maria José of Savoy, endTime (reign as queen consort of Italy), 1946-06-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (reign as queen consort of Italy) Context triple: [Maria José of Savoy, endTime (reign as queen consort of Italy), 1946-06-12]
-
A.
endTimeAsQueenConsort
chosen
Indicates the date and time at which an individual’s tenure as queen consort comes to an end.
-
B.
start time (Queen consort of Sardinia)
Indicates the point in time when an individual began holding the position of Queen consort of Sardinia.
-
C.
reignAsQueenConsortOfNaplesEnd
Indicates the time or event at which an individual’s tenure as queen consort of Naples comes to an end.
-
D.
endTime (Grand Duke of Tuscany)
Indicates the point in time at which the tenure or reign of the Grand Duke of Tuscany comes to an end.
-
E.
endTime (as Duchess of Brittany)
Indicates the time at which the person’s tenure or role as Duchess of Brittany came 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 3, 2026, 4:19 p.m.