Triple
T9407320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colmar railway station |
E226618
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | city of Colmar |
E44428
|
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: city of Colmar | Statement: [Colmar railway station, serves, city of Colmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Colmar Context triple: [Colmar railway station, serves, city of Colmar]
-
A.
Colmar-Berg
Colmar-Berg is a small town in central Luxembourg known for being the residence of the Grand Ducal family and the site of a major Goodyear tire factory.
-
B.
Colmar
chosen
Colmar is a picturesque historic town in northeastern France’s Alsace region, renowned for its well-preserved medieval and early Renaissance architecture and canals.
-
C.
Molsheim
Molsheim is a historic town in northeastern France’s Grand Est region, known for its medieval architecture and as the birthplace of the Bugatti automobile brand.
-
D.
Ribeauvillé
Ribeauvillé is a historic wine-producing town in France’s Alsace region, known for its medieval architecture and location along the Alsace Wine Route.
-
E.
Wissembourg
Wissembourg is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and proximity to the German border.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c3fc988190ac34cc9e09f8ebfc |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af37e78081909683ce5359a8eb0e |
completed | April 5, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:47 p.m.