Triple
T15730293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn line S26 |
E381324
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Waidmannslust |
E78333
|
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: Waidmannslust | Statement: [S-Bahn line S26, serves, Waidmannslust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waidmannslust Context triple: [S-Bahn line S26, serves, Waidmannslust]
-
A.
Waidmannslust
chosen
Waidmannslust is a residential locality in the Reinickendorf borough of Berlin, Germany, known for its green spaces and suburban character.
-
B.
Tuchlauben
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
C.
Eningen unter Achalm
Eningen unter Achalm is a municipality in the German state of Baden-Württemberg, situated at the foot of the Achalm mountain near the city of Reutlingen.
-
D.
Von der Tann
Von der Tann was the Imperial German Navy’s first battlecruiser, notable for combining heavy armament with high speed and influencing subsequent German capital ship designs.
-
E.
Schlawe
Schlawe is a historic town in Pomerania, formerly in Prussia and now known as Sławno in northwestern Poland.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb61cb881908b158609c1ccfa1e |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fcb4e4819097bd0591bbcc3b71 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.