Triple
T6104151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute-Saône |
E136074
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ronchamp |
E548539
|
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: Ronchamp | Statement: [Haute-Saône, contains, Ronchamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronchamp Context triple: [Haute-Saône, contains, Ronchamp]
-
A.
Ronchamp
chosen
Ronchamp is a commune in eastern France best known for Le Corbusier’s modernist pilgrimage chapel, Notre-Dame du Haut.
-
B.
Maison de la Paix
Maison de la Paix is a modern academic and conference complex in Geneva that serves as the main campus of institutions focused on international relations, development, and global governance.
-
C.
Notre Dame du Haut, Ronchamp
Notre Dame du Haut in Ronchamp is a renowned modernist Catholic chapel in France, celebrated for its sculptural form, innovative use of light, and status as one of Le Corbusier’s most influential religious buildings.
-
D.
Pontchâteau
Pontchâteau is a small commune in western France known for its rural character and location within the Loire-Atlantique department in the Pays de la Loire region.
-
E.
Belvédère
Belvédère is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3f8e5481909e85a60aaf319f66 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12553f1d4819096de40514ef4d2cb |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.