Triple
T12378078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Nicolas (Liège) |
E295675
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Montegnée
Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
|
E1001329
|
NE FINISHED |
How this triple was built (4 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: Montegnée | Statement: [Saint-Nicolas (Liège), hasSubdivision, Montegnée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montegnée Context triple: [Saint-Nicolas (Liège), hasSubdivision, Montegnée]
-
A.
Montauroux
Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
-
B.
Montcel
Montcel is a small rural commune in southeastern France, situated within the scenic Massif des Bauges mountain range.
-
C.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Boissonnas
Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Montegnée Triple: [Saint-Nicolas (Liège), hasSubdivision, Montegnée]
Generated description
Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montegnée Target entity description: Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
-
A.
Montauroux
Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
-
B.
Montcel
Montcel is a small rural commune in southeastern France, situated within the scenic Massif des Bauges mountain range.
-
C.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Boissonnas
Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
- F. None of above. chosen
Provenance (5 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fb8d6c081909e8bbbd52c73f29c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c648b948190bfc6032cf8fdd7d5 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f6807200d4819081ab83b4b5afd9a4 |
completed | May 2, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f681028aa8819099f47625c86d8a4a |
completed | May 2, 2026, 10:56 p.m. |
Created at: April 8, 2026, 9:54 p.m.