Triple
T14938425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colmar-Berg |
E372457
|
entity |
| Predicate | hasNeighbouringCommune |
P33892
|
FINISHED |
| Object | Mersch |
E1080586
|
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: Mersch | Statement: [Colmar-Berg, hasNeighbouringCommune, Mersch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mersch Context triple: [Colmar-Berg, hasNeighbouringCommune, Mersch]
-
A.
Mersch
chosen
Mersch is a commune and town in central Luxembourg known as a regional hub situated at the confluence of several rivers and important transport routes.
-
B.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
C.
Mechernich
Mechernich is a small town in the Eifel region of North Rhine-Westphalia, Germany, known for its rural landscape and cultural landmarks such as the Bruder Klaus Field Chapel.
-
D.
Dallenwil
Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
-
E.
Erkelenz
Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural center.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968d71dc81909b76551f9cd9ebab |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:38 a.m.