Triple
T962023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bas-Rhin |
E20754
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Saverne |
E185457
|
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: Saverne | Statement: [Bas-Rhin, containsCity, Saverne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saverne Context triple: [Bas-Rhin, containsCity, Saverne]
-
A.
Saverne
chosen
Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
-
B.
Santenay
Santenay is a wine-producing village in Burgundy, France, known for its predominantly red wines made from Pinot Noir and its location at the southern end of the Côte de Beaune.
-
C.
Chêne-Bourg
Chêne-Bourg is a municipality in western Switzerland located in the canton of Geneva, forming part of the Geneva metropolitan area near the French border.
-
D.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
-
E.
Langres
Langres is a historic fortified town in northeastern France known for its well-preserved ramparts and as the birthplace of Enlightenment philosopher Denis Diderot.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad67f0651881909314e8761a7a7a5b |
completed | March 8, 2026, 12:13 p.m. |
Created at: March 1, 2026, 7:40 p.m.