Triple
T6743679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuville-sur-Vannes |
E154152
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Vanne |
E225983
|
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: Vanne | Statement: [Neuville-sur-Vannes, locatedOnRiver, Vanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanne Context triple: [Neuville-sur-Vannes, locatedOnRiver, Vanne]
-
A.
Vanne
chosen
Vanne is a river in north-central France that serves as a tributary of the Yonne.
-
B.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
C.
Tannay
Tannay is a small lakeside municipality in the canton of Vaud in western Switzerland, situated on the shores of Lake Geneva.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Morangis
Morangis is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b3b1448190a94b4b64f01af14a |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b11b828819084d5a21dde5f1f5b |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.