Triple
T7626745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merrickville |
E172652
|
entity |
| Predicate | distanceToOttawaApproxKm |
P23261
|
FINISHED |
| Object | about 60 |
—
|
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 60 | Statement: [Merrickville, distanceToOttawaApproxKm, about 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToOttawaApproxKm Context triple: [Merrickville, distanceToOttawaApproxKm, about 60]
-
A.
distanceToOttawa
chosen
Indicates the spatial distance between a given entity’s location and the city of Ottawa.
-
B.
distanceFromToronto
Indicates the spatial distance between a given entity and the location of Toronto.
-
C.
distanceToToronto
Indicates the spatial distance between a given entity’s location and the city of Toronto.
-
D.
distanceFromQuebecCityCentre
Indicates the measured spatial distance between a given location and the center of Quebec City.
-
E.
distanceToVancouverByRoad
Indicates the length of the route required to travel by road from a given place to 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.