Triple
T2400155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vennbahn railway |
E47746
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Raeren |
E258135
|
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: Raeren | Statement: [Vennbahn railway, passesThrough, Raeren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raeren Context triple: [Vennbahn railway, passesThrough, Raeren]
-
A.
Raeren
chosen
Raeren is a municipality in eastern Belgium known for its German-speaking population and historical stoneware pottery tradition.
-
B.
Vandoeuvres
Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
-
C.
Binche
Binche is a historic town in the Walloon region of Belgium, renowned for its well-preserved medieval architecture and its UNESCO-recognized Carnival of Binche.
-
D.
Wavre
Wavre is a town in central Belgium that serves as the capital of Walloon Brabant and is known for hosting the Walibi Belgium amusement park.
-
E.
Verviers
Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c95d8c819088e4bb4fb32452ae |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3a133848190a8585a4d9cde0396 |
completed | March 12, 2026, 5:10 p.m. |
Created at: March 4, 2026, 7:57 p.m.