Triple
T19599837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carleton Place |
E470437
|
entity |
| Predicate | distanceFromOttawa |
P23261
|
FINISHED |
| Object | approximately 46 kilometres 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: approximately 46 kilometres southwest | Statement: [Carleton Place, distanceFromOttawa, approximately 46 kilometres southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromOttawa Context triple: [Carleton Place, distanceFromOttawa, approximately 46 kilometres southwest]
-
A.
distanceToOttawa
chosen
Indicates the spatial distance between a given entity’s location and the city of Ottawa.
-
B.
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.
-
C.
distanceFromToronto
Indicates the spatial distance between a given entity and the location of Toronto.
-
D.
distanceToGatineauByRoad_km
Indicates the length, in kilometers, of the road route needed to travel from an entity to Gatineau.
-
E.
distanceFromQuebecCity
Indicates the measured distance between a given place or object and Quebec City.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407df98c8190b258ac3b690fe4b1 |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.