Triple
T15233873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Möhringen |
E364072
|
entity |
| Predicate | hasPublicTransportConnection |
P3791
|
FINISHED |
| Object | S-Bahn Stuttgart |
E117213
|
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: S-Bahn Stuttgart | Statement: [Möhringen, hasPublicTransportConnection, S-Bahn Stuttgart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S-Bahn Stuttgart Context triple: [Möhringen, hasPublicTransportConnection, S-Bahn Stuttgart]
-
A.
Stuttgart S-Bahn
chosen
The Stuttgart S-Bahn is a rapid transit and commuter rail network serving Stuttgart and its surrounding region in the German state of Baden-Württemberg.
-
B.
Stuttgart Stadtbahn
The Stuttgart Stadtbahn is a light rail and tram system serving the city of Stuttgart and its surrounding metropolitan area in Germany.
-
C.
S-Bahn
The S-Bahn is a German urban and suburban rapid transit rail system that connects city centers with surrounding metropolitan regions.
-
D.
Munich S-Bahn
The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
-
E.
S-Bahn Nuremberg
S-Bahn Nuremberg is a regional suburban rail network serving Nuremberg and its surrounding metropolitan area in Bavaria, Germany.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5efb0108190b3b45e9917721354 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:12 a.m.