Triple
T21293512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharbot Lake, Ontario |
E524855
|
entity |
| Predicate | distanceToKingston |
P16525
|
FINISHED |
| Object | approximately 70 kilometres northwest |
—
|
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 70 kilometres northwest | Statement: [Sharbot Lake, Ontario, distanceToKingston, approximately 70 kilometres northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKingston Context triple: [Sharbot Lake, Ontario, distanceToKingston, approximately 70 kilometres northwest]
-
A.
distanceToKingstonApprox
chosen
Indicates an approximate distance between a given location and Kingston.
-
B.
distanceToKingstown
Indicates the spatial distance between a given location and the place referred to as Kingstown.
-
C.
distanceFromHamilton
Indicates the spatial distance between a given entity and the location identified as Hamilton.
-
D.
distanceToBridgetownCentre
Indicates the measured distance between a given location and the center of Bridgetown.
-
E.
distanceToJamaica
Indicates the measured or calculated distance between a given entity and the location Jamaica.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73856ba988190a8359efecea362cc |
completed | April 21, 2026, 8:41 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:04 p.m.