Triple
T20615991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strépy-Thieu boat lift |
E506567
|
entity |
| Predicate | hasCaissonLength |
P140794
|
FINISHED |
| Object | 112 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: 112 metres | Statement: [Strépy-Thieu boat lift, hasCaissonLength, 112 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCaissonLength Context triple: [Strépy-Thieu boat lift, hasCaissonLength, 112 metres]
-
A.
numberOfCaissons
Indicates the quantity of caissons associated with or used in relation to a given entity or structure.
-
B.
hasPierLength
Indicates that one entity (typically a pier or similar structure) has a specified length measurement.
-
C.
hasTwinCaissons
Indicates that something is equipped with or associated with a pair of caissons functioning together as twins.
-
D.
coneLength
Indicates the length measurement of a cone-shaped structure associated with an entity.
-
E.
hasVerticalBeamLength
Indicates that an entity is associated with a vertical beam whose length is specified.
- 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.