Triple
T26478009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midtstuen station |
E666092
|
entity |
| Predicate | servedByLineNumber |
P102647
|
FINISHED |
| Object | Line 1 |
—
|
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: Line 1 | Statement: [Midtstuen station, servedByLineNumber, Line 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByLineNumber Context triple: [Midtstuen station, servedByLineNumber, Line 1]
-
A.
servedByLine
Indicates that a transportation stop, station, or location is provided service by a specific transit line.
-
B.
servedByLineType
Indicates that a service, stop, or route is operated or covered by a specific type of transit line.
-
C.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
-
D.
formerLineServed
Indicates that a particular transit line previously provided service to a route, station, or area but no longer does so.
-
E.
serviceNumberOrEquivalent
chosen
Indicates that one entity specifies the service number or an equivalent identifying code associated with another entity.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 27, 2026, 12:25 a.m.