Triple
T13173333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Ouchy |
E313032
|
entity |
| Predicate | signedAt |
P441
|
FINISHED |
| Object | Ouchy |
E142684
|
NE 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: Ouchy | Statement: [Treaty of Ouchy, signedAt, Ouchy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouchy Context triple: [Treaty of Ouchy, signedAt, Ouchy]
-
A.
Ouchy
chosen
Ouchy is a picturesque lakeside district of Lausanne on the shores of Lake Geneva, known for its promenades, parks, and views of the Alps.
-
B.
Douai
Douai is a historic town in northern France known for its medieval belfry, former importance as a university and legal center, and role in the shifting Franco-Flemish borderlands.
-
C.
Chatou
Chatou is a suburban commune in north-central France, located along the Seine River to the west of Paris and known for its Impressionist art heritage.
-
D.
Bertioga
Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
-
E.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c303e3c819086cf0f0b6d9e61ca |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafb81288190a6dcc3bd872998d8 |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:14 p.m.