Triple
T24237082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Etaples (1492) |
E601913
|
entity |
| Predicate | effectOnEngland |
P155299
|
FINISHED |
| Object | increased royal revenue for Henry VII |
—
|
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: increased royal revenue for Henry VII | Statement: [Treaty of Etaples (1492), effectOnEngland, increased royal revenue for Henry VII]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnEngland Context triple: [Treaty of Etaples (1492), effectOnEngland, increased royal revenue for Henry VII]
-
A.
effectOnFrance
Indicates the impact, influence, or consequences that something has on France.
-
B.
effectOnSpain
Indicates a relationship where one entity produces an influence, change, or consequence specifically affecting Spain.
-
C.
impactOnScotland
Indicates the effect or consequences that something has specifically on Scotland.
-
D.
resultEffectOnBrexit
Indicates the effect or impact that a particular result has on Brexit.
-
E.
effectOnDutchRepublic
Indicates the impact or consequences that something has on the Dutch Republic.
- 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_69e29538aafc8190a2386fdebbd1393b |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f28a9c5c3081909cfddc8d29121817 |
completed | April 29, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:02 a.m.