Triple
T24528421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivière-du-Loup |
E606731
|
entity |
| Predicate | roadDistanceToEdmundston |
P156617
|
FINISHED |
| Object | about 120 km southwest |
—
|
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: about 120 km southwest | Statement: [Rivière-du-Loup, roadDistanceToEdmundston, about 120 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToEdmundston Context triple: [Rivière-du-Loup, roadDistanceToEdmundston, about 120 km southwest]
-
A.
distanceToOttawaByRoad
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.
distanceToMoncton
Indicates the physical distance between a given location or entity and the city of Moncton.
-
C.
distanceFromBathurst
Indicates the spatial distance between a given entity and the reference location Bathurst.
-
D.
roadDistanceToBCBorder
Indicates the road travel distance from a given location to the border of British Columbia.
-
E.
distanceToSudbury
Indicates the spatial distance between a given entity or location and Sudbury.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.