Triple
T26830957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortlake railway station |
E675497
|
entity |
| Predicate | distanceFromWaterlooMiles |
P23804
|
FINISHED |
| Object | 7.5 |
—
|
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: 7.5 | Statement: [Mortlake railway station, distanceFromWaterlooMiles, 7.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromWaterlooMiles Context triple: [Mortlake railway station, distanceFromWaterlooMiles, 7.5]
-
A.
distanceFromWaterloo
chosen
Indicates the spatial distance between a given location and Waterloo.
-
B.
distanceFromToronto
Indicates the spatial distance between a given entity and the location of Toronto.
-
C.
distanceFromBarrie
Indicates the spatial distance separating something from the location of Barrie.
-
D.
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.
-
E.
distanceToWinnipeg
Indicates the spatial distance between a given entity’s location and the city of Winnipeg.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: April 27, 2026, 5:01 a.m.