Triple
T26478008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midtstuen station |
E666092
|
entity |
| Predicate | adjacentStationAwayFromCity |
P96206
|
FINISHED |
| Object | Skådalen station |
—
|
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: Skådalen station | Statement: [Midtstuen station, adjacentStationAwayFromCity, Skådalen station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationAwayFromCity Context triple: [Midtstuen station, adjacentStationAwayFromCity, Skådalen station]
-
A.
adjacentStationAwayFromCenter
chosen
Indicates that one station is directly next to another station in the direction moving away from the central point or hub.
-
B.
adjacentToStation
Indicates that one entity is located next to or immediately beside a station.
-
C.
adjacentStationOnA
Indicates that one station is directly next to another station along line A in the network.
-
D.
adjacentStationFormerly
Indicates that two stations were directly adjacent to each other in the past, but are no longer adjacent in the current network configuration.
-
E.
hasAdjacentStationAwayFromCentralLondon
Indicates that an entity (such as a station) has a neighboring station that is located outside the central London area.
- 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_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 12:25 a.m.