Triple
T10083463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rixensart |
E213960
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Genval |
E710738
|
NE 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: Genval | Statement: [Rixensart, contains, Genval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genval Context triple: [Rixensart, contains, Genval]
-
A.
Genval
chosen
Genval is a town in Belgium known for its scenic lakeside setting and convenient rail connections to Brussels and other nearby cities.
-
B.
Gensonné
Gensonné is a French surname most notably associated with Armand Gensonné, a prominent Girondin politician during the French Revolution.
-
C.
Gaume
Gaume is a culturally distinct region in southern Belgium known for its milder microclimate, French-speaking population, and characteristic rural landscapes.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Arvieu
Arvieu is a rural commune in the Aveyron department of southern France, known for its scenic setting on the Lévézou plateau near major lakes and its traditional agricultural character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b675f4b08190bd8285f210191b93 |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9 p.m.