Triple
T20709430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambre valley region |
E508993
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sambreville |
—
|
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: Sambreville | Statement: [Sambre valley region, contains, Sambreville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sambreville Context triple: [Sambre valley region, contains, Sambreville]
-
A.
Sambreville
chosen
Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
-
B.
Delpini
Delpini is an Italian surname most notably borne by Mario Delpini, the Roman Catholic Archbishop of Milan.
-
C.
Boissière
Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
-
D.
Malherbe
Malherbe is the commonly used nickname for the French football club Stade Malherbe Caen.
-
E.
Broussonet
Broussonet is a French surname most notably associated with Pierre Marie Auguste Broussonet, an 18th-century physician and botanist.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1961090819090daf7254f90a176 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:14 p.m.