Triple
T12779234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardennes (Belgium) |
E305458
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Saint-Hubert |
E376588
|
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: Saint-Hubert | Statement: [Ardennes (Belgium), contains, Saint-Hubert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Hubert Context triple: [Ardennes (Belgium), contains, Saint-Hubert]
-
A.
Saint Hubert
chosen
Saint Hubert is a Christian saint traditionally venerated as the patron of hunters, often associated with a legendary vision of a stag bearing a crucifix between its antlers.
-
B.
Count of Saint-Leu
The Count of Saint-Leu was a noble title held by Louis Bonaparte, former King of Holland and younger brother of Napoleon Bonaparte.
-
C.
Saint Loup
Saint Loup is a Christian saint venerated in the Catholic tradition, historically honored for his piety and pastoral leadership, with churches such as Église Saint-Loup de Versoix dedicated to him.
-
D.
Guerlinguetus
Guerlinguetus is a genus of tree squirrels within the tribe Sciurini, comprising several Neotropical squirrel species.
-
E.
Herbesthal
Herbesthal is a village in eastern Belgium, historically known for its former international railway station near the German border.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685013e0481908db09302a2ced207 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.