Triple
T8190909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weil am Rhein |
E191300
|
entity |
| Predicate | borderCrossingTo |
P4105
|
FINISHED |
| Object | Huningue |
E686421
|
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: Huningue | Statement: [Weil am Rhein, borderCrossingTo, Huningue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huningue Context triple: [Weil am Rhein, borderCrossingTo, Huningue]
-
A.
Huningue
chosen
Huningue is a small French commune in the Alsace region near the borders with Germany and Switzerland, historically notable as a fortified border town.
-
B.
Herkinge
Herkinge is a small settlement located in the Dutch province of South Holland.
-
C.
Margraten
Margraten is a village in the Dutch province of Limburg best known for hosting the Netherlands American Cemetery, a major World War II military burial ground for U.S. soldiers.
-
D.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
-
E.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da2f4108190b9b69cb7f41ef374 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3495a2808190844cbd8e22458ebc |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:41 p.m.