Triple
T7503750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret of Valois |
E177332
|
entity |
| Predicate | reignAsQueenConsortOfNavarreStart |
P77892
|
FINISHED |
| Object | 1572 |
—
|
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: 1572 | Statement: [Margaret of Valois, reignAsQueenConsortOfNavarreStart, 1572]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsQueenConsortOfNavarreStart Context triple: [Margaret of Valois, reignAsQueenConsortOfNavarreStart, 1572]
-
A.
reignAsQueenConsortOfSpainStart
Indicates the time at which a person began their tenure as queen consort of Spain.
-
B.
reignAsQueenConsortOfSpainEnd
Indicates the time or event at which an individual’s tenure as queen consort of Spain comes to an end.
-
C.
reignAsQueenConsortOfFranceStart
Indicates the time at which a person began serving as queen consort of France.
-
D.
reignAsQueenConsortOfPortugalStart
Indicates the time at which an individual began their tenure as queen consort of Portugal.
-
E.
reignAsQueenConsortOfScotlandStart
Indicates the time at which a person began their tenure serving as queen consort of Scotland.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:44 p.m.