Triple
T16225134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westend-Süd |
E393824
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Nordend-West |
E393825
|
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: Nordend-West | Statement: [Westend-Süd, hasNeighbour, Nordend-West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordend-West Context triple: [Westend-Süd, hasNeighbour, Nordend-West]
-
A.
Nordend-West
chosen
Nordend-West is a central residential district of Frankfurt am Main, Germany, known for its historic architecture, lively urban atmosphere, and proximity to the city center.
-
B.
Nordend
Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
-
C.
Nordend
Nordend is a district of the German town of Eberswalde in the state of Brandenburg.
-
D.
Westend-Süd
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.
-
E.
Northend
Northend is a small hamlet within the parish of Turville in Buckinghamshire, England, known for its rural character and traditional English countryside setting.
- 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_6a00079c4184819091d3355a5afaeced |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.