Triple
T14561641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strasbourg bus network |
E341679
|
entity |
| Predicate | hasHub |
P2413
|
FINISHED |
| Object | Bischheim |
E833817
|
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: Bischheim | Statement: [Strasbourg bus network, hasHub, Bischheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bischheim Context triple: [Strasbourg bus network, hasHub, Bischheim]
-
A.
Bischheim
chosen
Bischheim is a suburban commune in northeastern France, located near Strasbourg in the Bas-Rhin department of the Grand Est region.
-
B.
Fegersheim
Fegersheim is a commune in northeastern France, located in the Bas-Rhin department within the Strasbourg metropolitan area.
-
C.
Guebwiller
Guebwiller is a commune in northeastern France known for its wine production and location at the foot of the Vosges mountains in the Alsace region.
-
D.
Turckheim
Turckheim is a historic wine-producing town in northeastern France, known for its well-preserved medieval architecture and location along the Alsace Wine Route.
-
E.
Riquewihr
Riquewihr is a picturesque medieval village in northeastern France, renowned for its well-preserved half-timbered houses and vineyards along the Alsace Wine Route.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e7772508190bee1eb310aa40372 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:23 a.m.