Triple
T6083701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barkarby station |
E135583
|
entity |
| Predicate | hasConnectingTransport |
P62886
|
FINISHED |
| Object | bus services |
—
|
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: bus services | Statement: [Barkarby station, hasConnectingTransport, bus services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConnectingTransport Context triple: [Barkarby station, hasConnectingTransport, bus services]
-
A.
hasConnection
Indicates that there exists a link, association, or relationship between two entities.
-
B.
hasApproximateTransport
Indicates that one entity is connected to another by a transport option whose route, timing, or characteristics are similar to, but not exactly the same as, a referenced or ideal transport connection.
-
C.
hasPortConnection
Indicates that one entity is linked to another via a port or interface through which data, power, or signals can be transmitted.
-
D.
hasTransportContext
Indicates that there exists a transportation-related situation, setting, or conditions under which the associated entities or actions take place.
-
E.
hasModeConnection
chosen
Indicates a relationship where one entity is linked to another through a specific mode, method, or type of connection.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057877b448190aa12d2484102eeaa |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.