Triple
T25404539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep River |
E636516
|
entity |
| Predicate | distanceToChalkRiver |
P180586
|
FINISHED |
| Object | approximately 10 kilometres |
—
|
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 10 kilometres | Statement: [Deep River, distanceToChalkRiver, approximately 10 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToChalkRiver Context triple: [Deep River, distanceToChalkRiver, approximately 10 kilometres]
-
A.
distanceToRevelstoke
Indicates the spatial distance between a given entity’s location and the location of Revelstoke.
-
B.
distanceFromFortWilliam
Indicates the measured distance between an entity and Fort William.
-
C.
distanceToOttawa
Indicates the spatial distance between a given entity’s location and the city of Ottawa.
-
D.
distanceFromTimmins
Indicates the measured distance between a given location or entity and the reference location Timmins.
-
E.
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.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 21, 2026, 1:52 p.m.