Triple
T1621846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giverny garden |
E35048
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Giverny |
E35048
|
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: Giverny | Statement: [Giverny garden, locatedIn, Giverny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giverny Context triple: [Giverny garden, locatedIn, Giverny]
-
A.
Giverny garden
chosen
Giverny garden is the famed French garden designed and cultivated by Claude Monet, whose water lily ponds and lush landscapes inspired many of his iconic Impressionist paintings.
-
B.
Ermenonville
Ermenonville is a village in northern France known for its picturesque landscape garden and as the place where philosopher Jean-Jacques Rousseau spent his final days.
-
C.
Limoges
Limoges is a historic city in central France renowned for its fine porcelain production and medieval architecture.
-
D.
Giverny cemetery
Giverny cemetery is a small village graveyard in Giverny, France, best known as the final resting place of the Impressionist painter Claude Monet.
-
E.
Thoiry
Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909b1fc788190b38c0aa4ccc2e953 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51d2cbb481908bc74cecdc023547 |
completed | March 8, 2026, 10:39 a.m. |
Created at: March 4, 2026, 7:28 p.m.