Triple
T7075569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Gesundbrunnen |
E164808
|
entity |
| Predicate | servedByLine |
P1293
|
FINISHED |
| Object | S8 |
E142489
|
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: S8 | Statement: [Berlin Gesundbrunnen, servedByLine, S8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S8 Context triple: [Berlin Gesundbrunnen, servedByLine, S8]
-
A.
S8
chosen
S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
-
B.
S8
S8 is a Munich S-Bahn suburban rail service that connects central Munich with its surrounding metropolitan areas.
-
C.
S8 Stock
S8 Stock is a type of London Underground train used on the Metropolitan line, featuring air-conditioned, walk-through carriages designed for longer-distance suburban services.
-
D.
S89
S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
-
E.
S6
S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ce3d3c81908cbb912b256aadbf |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79468c7688190bf10433f05e77574 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:40 p.m.