Triple
T26440791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiksmarka station |
E665079
|
entity |
| Predicate | neighboringStationTowardsOslo |
P164840
|
FINISHED |
| Object | Ekraveien 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: Ekraveien station | Statement: [Eiksmarka station, neighboringStationTowardsOslo, Ekraveien station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighboringStationTowardsOslo Context triple: [Eiksmarka station, neighboringStationTowardsOslo, Ekraveien station]
-
A.
directionFromOslo
Indicates the cardinal or relative direction in which one location lies when measured from Oslo.
-
B.
nearCityOnNorwegianSide
Indicates that one entity is located close to a specified city that lies on the Norwegian side of a border or region.
-
C.
adjacentStationTowardsStockholm
Indicates that one station is directly next to another in the direction of Stockholm along a transit line.
-
D.
adjacentStationTowardsNynäshamn
Indicates that one station is directly next to another in the direction toward Nynäshamn.
-
E.
distanceFromOslo
Indicates the spatial distance between a given entity’s location and the city of Oslo.
- 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_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 26, 2026, 11:58 p.m.