Triple
T31788063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenchen Süd railway station |
E811384
|
entity |
| Predicate | hasLongDistanceTrainService |
P103546
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Grenchen Süd railway station, hasLongDistanceTrainService, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongDistanceTrainService Context triple: [Grenchen Süd railway station, hasLongDistanceTrainService, yes]
-
A.
hasLongDistanceTrains
chosen
Indicates that a location, station, or rail operator provides or is served by long-distance train services.
-
B.
hasRegionalTrainService
Indicates that a location or route is served by regional train services connecting it to nearby areas.
-
C.
hasNightTrainService
Indicates that a transportation route or station is served by trains that operate during nighttime hours.
-
D.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
-
E.
hasPassengerRailConnection
Indicates that there exists a passenger rail service linking one location or transport node to another.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: April 30, 2026, 11:38 p.m.