Triple
T7406697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferme générale |
E170888
|
entity |
| Predicate | paidToCrown |
P76585
|
FINISHED |
| Object | fixed annual sum |
—
|
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: fixed annual sum | Statement: [Ferme générale, paidToCrown, fixed annual sum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paidToCrown Context triple: [Ferme générale, paidToCrown, fixed annual sum]
-
A.
paidFor
Indicates that one entity provided payment to cover the cost of something on behalf of another entity.
-
B.
paidBy
Indicates that a payment or financial obligation is made or settled by the specified entity.
-
C.
crownedWith
Indicates that one entity serves as a crown, top, or decorative upper covering placed upon another entity.
-
D.
hasCrownCount
Indicates the number of crowns that an entity possesses or is associated with.
-
E.
offeredCrownOutcome
Indicates the outcome or result that followed from an offer of a crown or rulership being made to someone.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f275c6e481908b4ce9ff1e418296 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f15c36d48190bc75353d3f67555a |
completed | March 27, 2026, 9:06 p.m. |
Created at: March 27, 2026, 3:10 p.m.