Triple
T33713194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ski Station |
E863796
|
entity |
| Predicate | lineDistanceFromOsloS |
P15213
|
FINISHED |
| Object | approximately 24 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 24 km | Statement: [Ski Station, lineDistanceFromOsloS, approximately 24 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDistanceFromOsloS Context triple: [Ski Station, lineDistanceFromOsloS, approximately 24 km]
-
A.
distanceFromOslo
chosen
Indicates the spatial distance between a given entity’s location and the city of Oslo.
-
B.
distanceFromTrondheimOnNordlandLine_km
Indicates the distance in kilometers of a location measured along the Nordland railway line from Trondheim.
-
C.
distanceFromStortinget
Indicates the spatial distance between an entity and the Stortinget location.
-
D.
distanceFromTrondheimApproximate
Indicates an approximate measure of how far something is from Trondheim, typically expressed as a rough or estimated distance rather than an exact value.
-
E.
distanceFromKristiansand
Indicates the spatial distance between a given location or object and the city of Kristiansand.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fabe07848190bd4f14ac6dfa35b6 |
completed | May 3, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.