Triple
T20960006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg S-Bahn |
E516213
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | S21 |
E969792
|
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: S21 | Statement: [Hamburg S-Bahn, hasLine, S21]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S21 Context triple: [Hamburg S-Bahn, hasLine, S21]
-
A.
S21
S21, also known as Segond 21, is a French-language television channel that primarily broadcasts news and current affairs programming.
-
B.
S21
chosen
S21 is a suburban rail line that forms part of the Hamburg S-Bahn network in Germany.
-
C.
S21
S21 is a regional rail service designation within the RER Vaud commuter rail network in the canton of Vaud, Switzerland.
-
D.
S22
S22 is a regional rail service in the Vaud canton of Switzerland that operates as part of the RER Vaud commuter rail network.
-
E.
S20
S20 is a suburban rail line of the Munich S-Bahn network serving the Munich metropolitan area.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6e50988190a564d2aaf1a9bc54 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0927969140819089027995f14d86ee |
completed | May 17, 2026, 2:27 a.m. |
Created at: April 16, 2026, 1:30 p.m.