Triple
T23990121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Sault, Ontario |
E605038
|
entity |
| Predicate | distanceToCornwall |
P154529
|
FINISHED |
| Object | approximately 12 kilometres west |
—
|
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 12 kilometres west | Statement: [Long Sault, Ontario, distanceToCornwall, approximately 12 kilometres west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCornwall Context triple: [Long Sault, Ontario, distanceToCornwall, approximately 12 kilometres west]
-
A.
distanceToPenzance
Indicates the spatial distance between a given entity’s location and the town of Penzance.
-
B.
distanceToTywyn
Indicates the spatial distance between a given entity and the location Tywyn.
-
C.
distanceToTruro
Indicates the measured spatial distance between a given location or entity and the place named Truro.
-
D.
distanceToFolkestone
Indicates the spatial distance between a given location or entity and the town of Folkestone.
-
E.
distanceToPlymouth
Indicates the measured distance between a given location or object and the place named Plymouth.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38b37648190afb003cded3a7484 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:37 p.m.