Triple
T16225187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordend-West |
E393825
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Westend-Süd |
E393824
|
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: Westend-Süd | Statement: [Nordend-West, borderedBy, Westend-Süd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westend-Süd Context triple: [Nordend-West, borderedBy, Westend-Süd]
-
A.
Westend-Süd
chosen
Westend-Süd is an affluent central district of Frankfurt am Main, Germany, known for its elegant residential streets, historic architecture, and proximity to the city’s financial and cultural hubs.
-
B.
Westend-Nord
Westend-Nord is a district in the Westend area of Frankfurt am Main, Germany, known for its upscale residential streets, historic architecture, and proximity to the city center.
-
C.
Magniviertel
Magniviertel is a historic quarter in Braunschweig, Germany, known for its medieval street layout, half-timbered houses, and lively cultural and nightlife scene.
-
D.
Unterstrass
Unterstrass is a district in the city of Zurich, Switzerland, known for its residential character and proximity to the city center.
-
E.
Beuel-Mitte
Beuel-Mitte is the central district of the Beuel borough in Bonn, Germany, serving as its main urban and commercial area.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d25f8bc81909aa59b794a528db2 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed55a7c8190b4bc8bc325a5da5b |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.