Triple
T26440792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiksmarka station |
E665079
|
entity |
| Predicate | neighboringStationAwayFromOslo |
P165039
|
FINISHED |
| Object | Lijordet 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: Lijordet station | Statement: [Eiksmarka station, neighboringStationAwayFromOslo, Lijordet station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighboringStationAwayFromOslo Context triple: [Eiksmarka station, neighboringStationAwayFromOslo, Lijordet station]
-
A.
neighboringStationTowardsOslo
Indicates that one station is the next neighboring station in the direction towards Oslo.
-
B.
distanceFromOslo
Indicates the spatial distance between a given entity’s location and the city of Oslo.
-
C.
distanceFromKristiansand
Indicates the spatial distance between a given location or object and the city of Kristiansand.
-
D.
distanceFromStortinget
Indicates the spatial distance between an entity and the Stortinget location.
-
E.
nearCityOnNorwegianSide
Indicates that one entity is located close to a specified city that lies on the Norwegian side of a border or region.
- F. None of above. chosen
Provenance (4 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 26, 2026, 11:58 p.m.