Triple
T8168455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namur Province |
E190753
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Houyet |
E395094
|
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: Houyet | Statement: [Namur Province, contains, Houyet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houyet Context triple: [Namur Province, contains, Houyet]
-
A.
Houyet
chosen
Houyet is a rural municipality in the province of Namur, Belgium, known for its forests, castles, and location along the Lesse River.
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
D.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
E.
Lebreton
Lebreton is a French surname, often a variant of "Le Breton," historically denoting someone from Brittany (Bretagne) in France.
- 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_69cd347e2d2c81909b3c8d0f922e7c37 |
completed | April 1, 2026, 3:06 p.m. |
Created at: March 30, 2026, 5:39 p.m.