Triple
T20615773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal du Centre boat lifts |
E506560
|
entity |
| Predicate | totalVerticalRise |
P8271
|
FINISHED |
| Object | about 66 meters |
—
|
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: about 66 meters | Statement: [Canal du Centre boat lifts, totalVerticalRise, about 66 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalVerticalRise Context triple: [Canal du Centre boat lifts, totalVerticalRise, about 66 meters]
-
A.
numberOfStairs
Indicates the quantity of stairs associated with or present in a given context or structure.
-
B.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
C.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
D.
totalHeight
chosen
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
E.
verticalLiftSpanLength
Indicates the length of the span that moves vertically in a lifting structure or mechanism.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aadbb3ac81908145f57fd6a94256 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.