Triple
T23230404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal de la Deûle |
E581135
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Loos |
—
|
NE NERFINISHED |
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: Loos | Statement: [Canal de la Deûle, passesThrough, Loos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loos Context triple: [Canal de la Deûle, passesThrough, Loos]
-
A.
Loos
chosen
Loos is a commune in northern France that forms part of the Lille metropolitan area.
-
B.
Lobbes
Lobbes is a historic municipality in the Walloon region of Belgium, known for its ancient abbey and picturesque rural setting.
-
C.
La Hulpe
La Hulpe is a small, affluent municipality in Walloon Brabant, Belgium, known for its green surroundings and the Château de La Hulpe within the Solvay Regional Estate.
-
D.
Loenen
Loenen was a former Dutch municipality in the province of Utrecht that later became part of the municipality of Stichtse Vecht.
-
E.
Breda
Breda is an Italian industrial company best known for manufacturing railway rolling stock, including trains and trams used in transit systems worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f19231ef908190a791b4967916a66f |
completed | April 29, 2026, 5:08 a.m. |
Created at: April 17, 2026, 4:09 p.m.