Triple
T8168439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namur Province |
E190753
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ciney |
E710739
|
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: Ciney | Statement: [Namur Province, contains, Ciney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciney Context triple: [Namur Province, contains, Ciney]
-
A.
Ciney
chosen
Ciney is a town in the Walloon region of Belgium, known for its historic center, Trappist-style beer, and role as a local transport hub.
-
B.
Cairon
Cairon is a small commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Kallady
Kallady is a coastal village in eastern Sri Lanka known for its beaches, fishing community, and proximity to the town of Batticaloa.
-
D.
Vindrey
Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
-
E.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466abfe48190b4eb2f23b1e28668 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf4b68288190be7490119d46b242 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:39 p.m.