Triple
T16732055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn line S2 (Berlin) |
E406614
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Zepernick station |
E1021836
|
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: Zepernick station | Statement: [S-Bahn line S2 (Berlin), servesStation, Zepernick station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zepernick station Context triple: [S-Bahn line S2 (Berlin), servesStation, Zepernick station]
-
A.
Zepernick station
chosen
Zepernick station is a local railway stop serving the municipality of Panketal in the state of Brandenburg, Germany, as part of the Berlin suburban rail network.
-
B.
Flöha station
Flöha station is a regional railway station in the town of Flöha in Saxony, Germany, serving as a local transport hub on routes connecting to the nearby city of Chemnitz.
-
C.
Hohenecken station
Hohenecken station is a local railway stop serving the Hohenecken district in the city of Kaiserslautern, Germany.
-
D.
Ládví station
Ládví station is a Prague Metro station on Line C serving the Ládví district in the northern part of the city.
-
E.
Borna station
Borna station is a regional railway station in the town of Borna in Saxony, Germany, serving passenger traffic on the Chemnitz–Leipzig rail corridor.
- 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_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.