Triple
T20641149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hydraulic boat lift No. 4 at Thieu |
E507225
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Le Roeulx |
—
|
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: Le Roeulx | Statement: [Hydraulic boat lift No. 4 at Thieu, near, Le Roeulx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Roeulx Context triple: [Hydraulic boat lift No. 4 at Thieu, near, Le Roeulx]
-
A.
Le Roeulx
chosen
Le Roeulx is a historic town in the province of Hainaut in Wallonia, Belgium, known for its castle, traditional architecture, and proximity to the Canal du Centre.
-
B.
Le Falgoux
Le Falgoux is a small rural commune in the Cantal department of south-central France, nestled in the Auvergne volcanic mountains.
-
C.
Le Brusquet
Le Brusquet is a small commune in southeastern France situated in the Alpes-de-Haute-Provence department.
-
D.
Le Bar-sur-Loup
Le Bar-sur-Loup is a small historic village in southeastern France’s Alpes-Maritimes department, known for its medieval architecture and scenic setting in the Provence-Alpes-Côte d’Azur region.
-
E.
Canebière
Canebière is the historic main thoroughfare of Marseille, France, running from the Old Port into the city and long known as a bustling commercial and social hub.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad132ebc8190b557914cf31a9033 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:43 a.m.