Triple
T20615993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strépy-Thieu boat lift |
E506567
|
entity |
| Predicate | hasCaissonWaterDepth |
P140795
|
FINISHED |
| Object | 3.35 metres |
—
|
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: 3.35 metres | Statement: [Strépy-Thieu boat lift, hasCaissonWaterDepth, 3.35 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCaissonWaterDepth Context triple: [Strépy-Thieu boat lift, hasCaissonWaterDepth, 3.35 metres]
-
A.
hasWaterDepthCategory
Indicates the classification of something based on the range or category of its water depth.
-
B.
hasWaterDepthAtExit
Indicates the water depth measured at the exit point of a structure, channel, or system.
-
C.
hasBottomWater
Indicates that an entity contains or is associated with water specifically located at its bottom or lowest part.
-
D.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
-
E.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
- 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_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. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.