Triple
T5265461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Maud of Norway |
E118927
|
entity |
| Predicate | startTimeOfReignAsQueenConsort |
P19180
|
FINISHED |
| Object | 1905 |
—
|
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: 1905 | Statement: [Queen Maud of Norway, startTimeOfReignAsQueenConsort, 1905]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfReignAsQueenConsort Context triple: [Queen Maud of Norway, startTimeOfReignAsQueenConsort, 1905]
-
A.
reignAsQueenConsortOfEnglandStart
Indicates the time at which an individual began serving as queen consort of England to a reigning English monarch.
-
B.
reignAsEmpressConsortBegan
Indicates the point in time when an individual began their tenure or role as an empress consort.
-
C.
reignAsQueenConsortFrom
Indicates the time period during which a person held the role of queen consort, starting from a specified date or event.
-
D.
reignAsConsortStart
chosen
Indicates the date or point in time when an individual began their role or tenure as a consort.
-
E.
reignAsQueenConsort
Indicates that a person holds the position and performs the role of queen consort during the reign of a monarch.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.