Triple
T13048468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condroz |
E327385
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Fernelmont
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
|
E1025883
|
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: Fernelmont | Statement: [Condroz, containsSettlement, Fernelmont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernelmont Context triple: [Condroz, containsSettlement, Fernelmont]
-
A.
Gembloux
Gembloux is a town in the Walloon region of Belgium known for its historic center and agricultural university.
-
B.
Morlanwelz
Morlanwelz is a municipality in the Hainaut province of Wallonia, Belgium, known as part of the industrial region of the Charleroi basin.
-
C.
Deûlémont
Deûlémont is a commune in northern France’s Nord department, situated near the Belgian border in the Hauts-de-France region.
-
D.
d’Oultremont
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
-
E.
Martelange
Martelange is a small Belgian town known for straddling the border with Luxembourg and serving as a local commercial and transit hub.
- 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: Fernelmont Triple: [Condroz, containsSettlement, Fernelmont]
Generated description
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fernelmont Target entity description: Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
A.
Gembloux
Gembloux is a town in the Walloon region of Belgium known for its historic center and agricultural university.
-
B.
Morlanwelz
Morlanwelz is a municipality in the Hainaut province of Wallonia, Belgium, known as part of the industrial region of the Charleroi basin.
-
C.
Deûlémont
Deûlémont is a commune in northern France’s Nord department, situated near the Belgian border in the Hauts-de-France region.
-
D.
d’Oultremont
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
-
E.
Martelange
Martelange is a small Belgian town known for straddling the border with Luxembourg and serving as a local commercial and transit hub.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c771fc8190afb6b0f449c67294 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 9, 2026, 8:57 p.m.