Triple
T20615992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strépy-Thieu boat lift |
E506567
|
entity |
| Predicate | hasCaissonWidth |
P51574
|
FINISHED |
| Object | 12 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: 12 metres | Statement: [Strépy-Thieu boat lift, hasCaissonWidth, 12 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCaissonWidth Context triple: [Strépy-Thieu boat lift, hasCaissonWidth, 12 metres]
-
A.
hasTwinCaissons
Indicates that something is equipped with or associated with a pair of caissons functioning together as twins.
-
B.
numberOfCaissons
Indicates the quantity of caissons associated with or used in relation to a given entity or structure.
-
C.
hasChamberWidth
chosen
Indicates that an entity possesses a chamber whose width has a specified value or range.
-
D.
hasRailWidth
Indicates that one entity has a specified width measurement for its rail or rails.
-
E.
hasPierLength
Indicates that one entity (typically a pier or similar structure) has a specified length measurement.
- 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.