Triple
T9710250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sèvre Nantaise |
E235003
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Vertou |
E393202
|
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: Vertou | Statement: [Sèvre Nantaise, flowsThrough, Vertou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vertou Context triple: [Sèvre Nantaise, flowsThrough, Vertou]
-
A.
Vertou
chosen
Vertou is a suburban commune in western France, located near Nantes and known for its vineyards and green spaces along the Sèvre Nantaise river.
-
B.
Marcoussis
Marcoussis is a commune in the Essonne department of the Île-de-France region in northern France, known for its blend of rural charm and proximity to the Paris metropolitan area.
-
C.
Lixouri
Lixouri is a coastal town and one of the main settlements on the Greek island of Kefalonia, known for its harbor, beaches, and relaxed atmosphere.
-
D.
Elounda
Elounda is a coastal resort town on the northeastern coast of Crete, Greece, known for its luxury hotels, scenic bays, and proximity to the island of Spinalonga.
-
E.
Cerigo
Cerigo is the historical Venetian name for the Greek island of Kythira, located off the southern tip of the Peloponnese.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da8eaa08190b3ba148d85c5cec5 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8876748190b0b5efb12031f532 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.