Triple
T14768193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodoigne |
E347056
|
entity |
| Predicate | hasMunicipalSection |
P10450
|
FINISHED |
| Object |
Dongelberg
Dongelberg is a village in Wallonia, Belgium, that forms one of the districts of the municipality of Jodoigne in the province of Walloon Brabant.
|
E1118742
|
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: Dongelberg | Statement: [Jodoigne, hasMunicipalSection, Dongelberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongelberg Context triple: [Jodoigne, hasMunicipalSection, Dongelberg]
-
A.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
B.
Ravensberg
Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
-
C.
Dinklage
Dinklage is a small town in Lower Saxony, Germany, known as the birthplace of Cardinal Clemens August Graf von Galen.
-
D.
Donges
Donges is a commune in western France’s Loire-Atlantique department, known for its major oil refinery and industrial port facilities along the Loire River.
-
E.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
- 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: Dongelberg Triple: [Jodoigne, hasMunicipalSection, Dongelberg]
Generated description
Dongelberg is a village in Wallonia, Belgium, that forms one of the districts of the municipality of Jodoigne in the province of Walloon Brabant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dongelberg Target entity description: Dongelberg is a village in Wallonia, Belgium, that forms one of the districts of the municipality of Jodoigne in the province of Walloon Brabant.
-
A.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
B.
Ravensberg
Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
-
C.
Dinklage
Dinklage is a small town in Lower Saxony, Germany, known as the birthplace of Cardinal Clemens August Graf von Galen.
-
D.
Donges
Donges is a commune in western France’s Loire-Atlantique department, known for its major oil refinery and industrial port facilities along the Loire River.
-
E.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf86730819082cf3f502ec16a46 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1874682881909ff97bca55bea320 |
completed | May 8, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1918fa988190b8ed746aa6f6f829 |
completed | May 8, 2026, 5:10 p.m. |
Created at: April 10, 2026, 1:30 a.m.