Triple
T26478007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midtstuen station |
E666092
|
entity |
| Predicate | adjacentStationTowardsCity |
P162565
|
FINISHED |
| Object | Besserud 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: Besserud station | Statement: [Midtstuen station, adjacentStationTowardsCity, Besserud station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationTowardsCity Context triple: [Midtstuen station, adjacentStationTowardsCity, Besserud station]
-
A.
adjacentStationTowards
chosen
Indicates that one station is directly next to another station in a specified direction along a route or line.
-
B.
adjacentToStation
Indicates that one entity is located next to or immediately beside a station.
-
C.
adjacentStationWest
Indicates that one station is immediately to the west of another station in a spatial or network layout.
-
D.
adjacentStationOnA
Indicates that one station is directly next to another station along line A in the network.
-
E.
adjacentStationTowardO Hare
Indicates that one station is directly next to another in the direction of O'Hare along a 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 12:25 a.m.