Triple
T20960015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg S-Bahn |
E516213
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Hamburg-Altona station |
E1450128
|
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: Hamburg-Altona station | Statement: [Hamburg S-Bahn, hasStation, Hamburg-Altona station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamburg-Altona station Context triple: [Hamburg S-Bahn, hasStation, Hamburg-Altona station]
-
A.
Hamburg-Altona station
chosen
Hamburg-Altona station is a major railway and S-Bahn hub in Hamburg, Germany, serving regional, long-distance, and suburban train services.
-
B.
Altona railway station
Altona railway station is a suburban commuter rail station serving the coastal suburb of Altona in Melbourne, Victoria, Australia.
-
C.
Berlin Westhafen station
Berlin Westhafen station is a key Berlin S-Bahn and U-Bahn interchange in the Moabit district, serving as an important node for both ring and inner-city rail services.
-
D.
Eidelstedt station
Eidelstedt station is a railway and S-Bahn station in the Eidelstedt district of Hamburg, Germany, serving as a local and regional transport hub.
-
E.
Hamburg Central Station
Hamburg Central Station is the main railway hub of Hamburg and one of Germany’s busiest train stations, serving as a key national and international transport interchange.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6e50988190a564d2aaf1a9bc54 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0927969140819089027995f14d86ee |
completed | May 17, 2026, 2:27 a.m. |
Created at: April 16, 2026, 1:30 p.m.