Triple
T14561644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strasbourg bus network |
E341679
|
entity |
| Predicate | hasHub |
P2413
|
FINISHED |
| Object | Eckbolsheim |
E1101374
|
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: Eckbolsheim | Statement: [Strasbourg bus network, hasHub, Eckbolsheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eckbolsheim Context triple: [Strasbourg bus network, hasHub, Eckbolsheim]
-
A.
Eckbolsheim
chosen
Eckbolsheim is a suburban commune in northeastern France, located just west of Strasbourg in the Grand Est region.
-
B.
Eggolsheim
Eggolsheim is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and proximity to the city of Forchheim.
-
C.
Egisheim
Egisheim is a historic village in northeastern France’s Alsace region, known as the birthplace of Pope Leo IX (Bruno of Egisheim-Dagsburg) and for its well-preserved medieval architecture and wine-making tradition.
-
D.
Geispolsheim
Geispolsheim is a commune in northeastern France’s Grand Est region, situated near Strasbourg and known for its mix of traditional Alsatian character and modern industrial and commercial zones.
-
E.
Erolzheim
Erolzheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg.
- 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_69fe3880ee4081908e783231de226448 |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:23 a.m.