Triple
T21832776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basel S-Bahn |
E539039
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | S5 |
—
|
NE NERFINISHED |
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: S5 | Statement: [Basel S-Bahn, hasLine, S5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S5 Context triple: [Basel S-Bahn, hasLine, S5]
-
A.
S5
S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
-
B.
S5
S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
-
C.
S5
S5 is the symmetric group on five elements, a fundamental non-abelian finite group that plays a key role in permutation group theory and Galois theory.
-
D.
S5
S5 is the IATA airline designator formerly used by Shuttle America, a regional airline that operated feeder services in the United States.
-
E.
S5
chosen
S5 is a regional rail service line within the RER Vaud network in Switzerland, providing suburban and commuter connections across the canton of Vaud.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.