Triple
T18965183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autobahn A46 |
E464015
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Erkelenz |
—
|
NE NERFINISHED |
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: Erkelenz | Statement: [Autobahn A46, connectsCity, Erkelenz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erkelenz Context triple: [Autobahn A46, connectsCity, Erkelenz]
-
A.
Erkelenz
chosen
Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural center.
-
B.
Pellenz
Pellenz is a municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
-
C.
Ingersheim
Ingersheim is a small municipality in the German state of Baden-Württemberg, known as the birthplace of resistance member Hans Scholl of the White Rose movement.
-
D.
Briel
Briel is a musical work or track featured on the cross-cultural compilation "A Playlist Without Borders."
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d663948190b496fbd2e69c7f43 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon