Triple
T22354630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Bourbon-Penthièvre |
E552619
|
entity |
| Predicate | acquiredWealthFrom |
P9503
|
FINISHED |
| Object | Admiral of France offices and pensions |
—
|
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: Admiral of France offices and pensions | Statement: [House of Bourbon-Penthièvre, acquiredWealthFrom, Admiral of France offices and pensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredWealthFrom Context triple: [House of Bourbon-Penthièvre, acquiredWealthFrom, Admiral of France offices and pensions]
-
A.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
B.
hasPrivateWealth
Indicates that an entity possesses personal financial assets or wealth that are privately owned and not part of shared or public resources.
-
C.
wealthDescribedAs
Indicates that one entity’s wealth is characterized, portrayed, or expressed in terms of another entity or description.
-
D.
wealthSymbol
Indicates that one entity serves as a representation or sign of wealth for another entity.
-
E.
gainedFrom
Indicates that something is obtained, acquired, or derived as a result of a specified source or cause.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157ceb2308190941f6507e605a612 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.