Triple
T28223746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Pemberton |
E711530
|
entity |
| Predicate | distanceToWhistler |
P201071
|
FINISHED |
| Object | approximately 30 kilometres north |
—
|
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 30 kilometres north | Statement: [Village of Pemberton, distanceToWhistler, approximately 30 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWhistler Context triple: [Village of Pemberton, distanceToWhistler, approximately 30 kilometres north]
-
A.
distanceToWhistlerByRoad
Indicates the road travel distance between a given place and Whistler.
-
B.
distanceToRevelstoke
Indicates the spatial distance between a given entity’s location and the location of Revelstoke.
-
C.
distanceFromSquamish
Indicates the measured spatial distance between a given entity and the location of Squamish.
-
D.
distanceToVancouver
Indicates the spatial distance between a given entity’s location and the city of Vancouver.
-
E.
distanceToBanff
Indicates the measured or estimated distance between a given location or entity and Banff.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
| PDg | Predicate description generation | batch_69ffc60504808190a89990b556b1d5ce |
completed | May 9, 2026, 11:40 p.m. |
Created at: April 27, 2026, 10:48 p.m.