Triple
T14085029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemptville |
E338970
|
entity |
| Predicate | distanceToOttawaByRoad_km |
P94560
|
FINISHED |
| Object | approximately 55 |
—
|
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 55 | Statement: [Kemptville, distanceToOttawaByRoad_km, approximately 55]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToOttawaByRoad_km Context triple: [Kemptville, distanceToOttawaByRoad_km, approximately 55]
-
A.
distanceToOttawaByRoad
chosen
Indicates the length of the travel route between a place and Ottawa when moving along the road network rather than in a straight line.
-
B.
distanceToOttawa
Indicates the spatial distance between a given entity’s location and the city of Ottawa.
-
C.
distanceToVancouverByRoad
Indicates the length of the route required to travel by road from a given place to Vancouver.
-
D.
distanceFromToronto
Indicates the spatial distance between a given entity and the location of Toronto.
-
E.
distanceToMontreal
Indicates the spatial distance between a given entity’s location and the city of Montreal.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5edff1b881909ea56dc2429ef2dd |
completed | April 14, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.