Triple
T34283944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Südbahnhof (Frankfurt am Main) |
E879678
|
entity |
| Predicate | hasNightBusLine |
P104314
|
FINISHED |
| Object | night bus n61 |
—
|
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: night bus n61 | Statement: [Südbahnhof (Frankfurt am Main), hasNightBusLine, night bus n61]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNightBusLine Context triple: [Südbahnhof (Frankfurt am Main), hasNightBusLine, night bus n61]
-
A.
hasNightBusService
chosen
Indicates that a transportation route or stop is served by buses operating during nighttime hours.
-
B.
hasNightTrainService
Indicates that a transportation route or station is served by trains that operate during nighttime hours.
-
C.
hasTrolleybusLine
Indicates that there exists a trolleybus service or route connecting the related entities.
-
D.
hasBRTLine
Indicates that a bus rapid transit (BRT) line is present, operates on, or serves the referenced entity.
-
E.
hasChronobusLine
Indicates that a location or entity is served by, or connected to, a Chronobus transit line.
- F. None of above.
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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.