Triple
T27909318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Point terminal |
E705876
|
entity |
| Predicate | distanceToNanaimoDowntown |
P83806
|
FINISHED |
| Object | approximately 20 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 20 km | Statement: [Duke Point terminal, distanceToNanaimoDowntown, approximately 20 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNanaimoDowntown Context triple: [Duke Point terminal, distanceToNanaimoDowntown, approximately 20 km]
-
A.
distanceFromNanaimo
chosen
Indicates the spatial distance between a given location and Nanaimo.
-
B.
distanceFromVictoria
Indicates the measured distance between a given entity or location and Victoria.
-
C.
distanceFromSquamish
Indicates the measured spatial distance between a given entity and the location of Squamish.
-
D.
distanceToTofino_km
Indicates the distance, measured in kilometers, between a given location and Tofino.
-
E.
distanceToVancouver
Indicates the spatial distance between a given entity’s location and the city of Vancouver.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: April 27, 2026, 6:48 p.m.