Triple
T7412363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ill River |
E171039
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | 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: Colmar | Statement: [Ill River, passesThrough, Colmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colmar Context triple: [Ill River, passesThrough, Colmar]
-
A.
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.
-
B.
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.
-
C.
Altkirch
Altkirch is a small historic town in northeastern France that serves as an administrative and cultural center in the Alsace region.
-
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.
Saint-Louis, Haut-Rhin
Saint-Louis, Haut-Rhin is a French border town in the Alsace region, adjacent to Basel and Germany, known as the site of the tri-national EuroAirport serving France, Switzerland, and Germany.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c82779a1d8819098f136291fa42433 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.