Triple
T10936357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trun |
E258341
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chambois |
E320695
|
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: Chambois | Statement: [Trun, near, Chambois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chambois Context triple: [Trun, near, Chambois]
-
A.
Chambois
chosen
Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
-
B.
Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
-
C.
Chevenez
Chevenez is a village in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
D.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
E.
Tiffauges
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770afaa1c8190b8fced9c694c0938 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46283f41c8190ac3e1f196c5e4ca0 |
completed | April 19, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:23 p.m.