Triple
T11969656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watson Lake |
E284882
|
entity |
| Predicate | roadDistanceToWhitehorse |
P102568
|
FINISHED |
| Object | approximately 450 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 450 km | Statement: [Watson Lake, roadDistanceToWhitehorse, approximately 450 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToWhitehorse Context triple: [Watson Lake, roadDistanceToWhitehorse, approximately 450 km]
-
A.
distanceToWhistlerByRoad
Indicates the road travel distance between a given place and Whistler.
-
B.
distanceFromFortWilliam
Indicates the measured distance between an entity and Fort William.
-
C.
distanceToVancouverByRoad
Indicates the length of the route required to travel by road from a given place to Vancouver.
-
D.
roadDistanceToMountRainierNationalParkEntrance
Indicates the driving distance along roads from a given location to the entrance of Mount Rainier National Park.
-
E.
distanceToTofino_km
Indicates the distance, measured in kilometers, between a given location and Tofino.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037bee54819085242a3ef3e286f9 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.