Triple
T2585608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary of Guelders |
E57189
|
entity |
| Predicate | broughtUpAt |
P7868
|
FINISHED |
| Object | Burgundian court |
—
|
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: Burgundian court | Statement: [Mary of Guelders, broughtUpAt, Burgundian court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broughtUpAt Context triple: [Mary of Guelders, broughtUpAt, Burgundian court]
-
A.
raisedIn
chosen
Indicates that an entity spent its formative or upbringing period within a particular place or environment.
-
B.
raisedBy
Indicates that one entity has been brought up, nurtured, or reared under the care, guidance, or authority of another entity.
-
C.
adoptedAt
Indicates the time or date at which an adoption event took place.
-
D.
raisedWith
Indicates that two or more entities grew up together in the same household or close environment during their formative years.
-
E.
broughtTo
Indicates that one entity caused another entity or object to be transported or accompanied to a particular destination or recipient.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3cd07588190b3cb8cc348f12938 |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.