Triple
T16732053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn line S2 (Berlin) |
E406614
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Karow station |
E1200242
|
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: Karow station | Statement: [S-Bahn line S2 (Berlin), servesStation, Karow station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karow station Context triple: [S-Bahn line S2 (Berlin), servesStation, Karow station]
-
A.
Karow railway station
chosen
Karow railway station is a local train station serving the Karow district, providing regional rail connections within its surrounding area.
-
B.
Wittenau station
Wittenau station is a major public transport interchange in Berlin that connects U-Bahn, S-Bahn, and bus services for the Wittenau district.
-
C.
Wende station
Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
-
D.
Aumühle station
Aumühle station is a railway station in Aumühle, Germany, serving as a local stop on regional and suburban rail lines in the Hamburg metropolitan area.
-
E.
Enkheim station
Enkheim station is a public transit stop in Frankfurt, Germany, serving as a terminus and interchange point on the city’s U-Bahn network.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4a94688190aabe56c34e8cc2c3 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.