Triple
T26633104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambly Canal |
E668555
|
entity |
| Predicate | maximumVesselHeight |
P29241
|
FINISHED |
| Object | 9.1 m |
—
|
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: 9.1 m | Statement: [Chambly Canal, maximumVesselHeight, 9.1 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumVesselHeight Context triple: [Chambly Canal, maximumVesselHeight, 9.1 m]
-
A.
maximumVesselType
Indicates the highest or largest class, size, or category of vessel that is allowed, applicable, or associated in a given context.
-
B.
maximumVesselLength
Indicates the greatest allowable or observed length of a vessel in a given context or constraint.
-
C.
maxVesselTonnage
Indicates the maximum tonnage capacity that a vessel is allowed or designed to carry.
-
D.
maximumVesselAirDraft
chosen
Indicates the greatest vertical distance from the waterline to the highest point of a vessel that is allowed or applicable in a given context.
-
E.
maximumChamberHeight
Indicates the greatest vertical distance from the lowest to the highest point within a specified chamber.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 2:25 a.m.