Triple
T7679903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Josepha of Austria |
E173962
|
entity |
| Predicate | reignAsQueenConsortOfPolandStart |
P78889
|
FINISHED |
| Object | 1697 |
—
|
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: 1697 | Statement: [Maria Josepha of Austria, reignAsQueenConsortOfPolandStart, 1697]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsQueenConsortOfPolandStart Context triple: [Maria Josepha of Austria, reignAsQueenConsortOfPolandStart, 1697]
-
A.
reignAsQueenConsortOfHungaryStart
Indicates the time at which an individual began serving as queen consort of Hungary.
-
B.
reignAsQueenConsortOfEnglandStart
Indicates the time at which an individual began serving as queen consort of England to a reigning English monarch.
-
C.
reignAsQueenConsortOfFranceStart
Indicates the time at which a person began serving as queen consort of France.
-
D.
reignAsQueenConsortOfBohemiaEnd
Indicates the time or event at which an individual’s tenure as queen consort of Bohemia comes to an end.
-
E.
reignAsQueenConsortSwedenStart
Indicates the time at which an individual began serving as queen consort of Sweden.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7048a01508190bc2e9ae8b863486c |
completed | March 27, 2026, 10:28 p.m. |
Created at: March 27, 2026, 4:01 p.m.