Triple
T6108850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy’s Cove |
E136180
|
entity |
| Predicate | distanceFromHalifax |
P68198
|
FINISHED |
| Object | approximately 43 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 43 kilometres | Statement: [Peggy’s Cove, distanceFromHalifax, approximately 43 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromHalifax Context triple: [Peggy’s Cove, distanceFromHalifax, approximately 43 kilometres]
-
A.
distanceToDalhousie
Indicates the spatial distance between a given entity and Dalhousie.
-
B.
distanceFromToronto
Indicates the spatial distance between a given entity and the location of Toronto.
-
C.
distanceToOttawa
Indicates the spatial distance between a given entity’s location and the city of Ottawa.
-
D.
distanceFromBoston
Indicates the spatial distance between a given entity’s location and the city of Boston.
-
E.
distanceFromQuebecCityCentre
Indicates the measured spatial distance between a given location and the center of Quebec City.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b835ed48190971c3ba397ca329f |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:13 p.m.