Triple
T13821436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Possenhofen station |
E332143
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Munich S-Bahn |
E507939
|
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: Munich S-Bahn | Statement: [Possenhofen station, servedBy, Munich S-Bahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munich S-Bahn Context triple: [Possenhofen station, servedBy, Munich S-Bahn]
-
A.
Munich S-Bahn
chosen
The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
-
B.
Munich U-Bahn
The Munich U-Bahn is the German city's rapid transit metro system, forming a core part of its public transportation network with multiple underground lines serving urban and suburban areas.
-
C.
Munich S-Bahn trunk line
The Munich S-Bahn trunk line is the central underground rail corridor that carries most S-Bahn routes through Munich’s city center, forming the backbone of the regional rapid transit network.
-
D.
S-Bahn Nuremberg
S-Bahn Nuremberg is a regional suburban rail network serving Nuremberg and its surrounding metropolitan area in Bavaria, Germany.
-
E.
Berlin S-Bahn
The Berlin S-Bahn is a rapid transit railway network serving Berlin and its surrounding areas, integrating suburban and urban rail services across the metropolitan region.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0284428081908043c55caeefb833 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce68804881909546073eb72c504c |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:12 p.m.