Triple
T19221455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Pourçain-sur-Sioule |
E480623
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Sioule |
—
|
NE NERFINISHED |
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: Sioule | Statement: [Saint-Pourçain-sur-Sioule, hasRiver, Sioule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sioule Context triple: [Saint-Pourçain-sur-Sioule, hasRiver, Sioule]
-
A.
Sioule
chosen
The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
-
B.
Suippe
The Suippe is a river in northeastern France that flows through the Champagne region before joining the Aisne.
-
C.
Simiche
Simiche is a central character in Menander’s ancient Greek comedy "Dyskolos," around whom much of the play’s domestic and social conflict revolves.
-
D.
Sougia
Sougia is a small, tranquil coastal village on the south coast of Crete, Greece, known for its quiet pebble beach, relaxed atmosphere, and access to hiking routes and nearby gorges.
-
E.
Marlais
Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3fa9348190920f9d41b8beb900 |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:24 p.m.