Triple
T27665854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlberg commuter rail station |
E697224
|
entity |
| Predicate | distanceFromStockholmCentral_km |
P21144
|
FINISHED |
| Object | 2 |
—
|
LITERAL FINISHED |
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: 2 | Statement: [Karlberg commuter rail station, distanceFromStockholmCentral_km, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromStockholmCentral_km Context triple: [Karlberg commuter rail station, distanceFromStockholmCentral_km, 2]
-
A.
distanceFromStockholmCityCentre
chosen
Indicates the measured distance between a given location and the center of Stockholm city.
-
B.
distanceFromUppsala_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Uppsala.
-
C.
distanceFromNyköping
Indicates the spatial distance separating an entity from the location of Nyköping.
-
D.
distanceFromKungstradgarden_km
Indicates the distance, measured in kilometers, from Kungsträdgården to a given location.
-
E.
distanceToStockholmArlandaAirport
Indicates the measured distance between a given location or entity and Stockholm Arlanda Airport.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
Created at: April 27, 2026, 2:38 p.m.