Triple
T11519353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ainola railway station |
E273119
|
entity |
| Predicate | distanceFromHelsinkiCentral |
P21938
|
FINISHED |
| Object | approximately 38 km |
—
|
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: approximately 38 km | Statement: [Ainola railway station, distanceFromHelsinkiCentral, approximately 38 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromHelsinkiCentral Context triple: [Ainola railway station, distanceFromHelsinkiCentral, approximately 38 km]
-
A.
distanceToHelsinki_km
chosen
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Helsinki.
-
B.
distanceToLappeenranta_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Lappeenranta.
-
C.
distanceFromTallinn
Indicates the measured distance between a given place or object and the city of Tallinn.
-
D.
distanceToTurku
Indicates the spatial distance between a given entity’s location and the city of Turku.
-
E.
distanceFromStockholmCityCentre
Indicates the measured distance between a given location and the center of Stockholm city.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcf927081908ef89eff7ad833b0 |
completed | April 10, 2026, 4:42 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.