Triple
T11053528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Vienna (1866) |
E261315
|
entity |
| Predicate | effectOnItaly |
P97527
|
FINISHED |
| Object | acquisition of Venetia |
—
|
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: acquisition of Venetia | Statement: [Treaty of Vienna (1866), effectOnItaly, acquisition of Venetia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnItaly Context triple: [Treaty of Vienna (1866), effectOnItaly, acquisition of Venetia]
-
A.
effectOnAustria
Indicates the impact or influence that one entity, event, or action has on Austria.
-
B.
effectOnSpain
Indicates a relationship where one entity produces an influence, change, or consequence specifically affecting Spain.
-
C.
effectOnPolity
Indicates the impact or consequence that one entity, event, or action has on a political body or governing organization.
-
D.
effectOnFrance
Indicates the impact, influence, or consequences that something has on France.
-
E.
commanderForItaly
Indicates that a person serves or served as a military or strategic commander on behalf of Italy.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7986d49e0819096c9e96b2ea1b38b |
completed | April 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.