Triple
T13972467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cochem |
E336098
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Cochem old town |
E336098
|
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: Cochem old town | Statement: [Cochem, hasLandmark, Cochem old town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cochem old town Context triple: [Cochem, hasLandmark, Cochem old town]
-
A.
Cochem
chosen
Cochem is a picturesque German town in the Rhineland-Palatinate region, renowned for its hilltop Reichsburg Castle, half-timbered houses, and scenic vineyards along the Moselle Valley.
-
B.
Beusichem
Beusichem is a village in the Dutch province of Gelderland that forms part of the municipality of Buren.
-
C.
Eguisheim
Eguisheim is a picturesque medieval wine-producing village in northeastern France, renowned for its concentric cobblestone streets, half-timbered houses, and role in the Alsace wine route.
-
D.
Berchem
Berchem is a district of the Belgian city of Antwerp, known for its residential neighborhoods, Art Nouveau architecture, and vibrant local culture.
-
E.
Pétange
Pétange is a commune in southwestern Luxembourg known for its proximity to the borders with Belgium and France and its role as a local transport and industrial hub.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1df334c8190a3d65198cc3d11f6 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.