Triple
T17134590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninove |
E415802
|
entity |
| Predicate | hasMunicipalDistrict |
P78738
|
FINISHED |
| Object |
Voorde
Voorde is a village in the Flemish province of East Flanders, Belgium, that forms one of the municipal districts of the city of Ninove.
|
E1252439
|
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: Voorde | Statement: [Ninove, hasMunicipalDistrict, Voorde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voorde Context triple: [Ninove, hasMunicipalDistrict, Voorde]
-
A.
Oostvoorne
Oostvoorne is a coastal village in the western Netherlands known for its dunes, beaches, and nature reserves along the North Sea.
-
B.
Voort
Voort is a village that forms one of the municipal sections of the city of Borgloon in the Belgian province of Limburg.
-
C.
Voord
The Voord are an amphibious, rubber-suited alien race from the Doctor Who universe, known for their sinister appearance and role as early adversaries of the Doctor.
-
D.
Weerde
Weerde is a village in the Flemish Brabant province of Belgium, known as a residential suburb within the municipality of Zemst.
-
E.
Vezhof
Vezhof is a constructed language associated with the Great Stallion setting, likely designed to reflect the culture and themes of that fictional world.
- 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: Voorde Triple: [Ninove, hasMunicipalDistrict, Voorde]
Generated description
Voorde is a village in the Flemish province of East Flanders, Belgium, that forms one of the municipal districts of the city of Ninove.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voorde Target entity description: Voorde is a village in the Flemish province of East Flanders, Belgium, that forms one of the municipal districts of the city of Ninove.
-
A.
Oostvoorne
Oostvoorne is a coastal village in the western Netherlands known for its dunes, beaches, and nature reserves along the North Sea.
-
B.
Voort
Voort is a village that forms one of the municipal sections of the city of Borgloon in the Belgian province of Limburg.
-
C.
Voord
The Voord are an amphibious, rubber-suited alien race from the Doctor Who universe, known for their sinister appearance and role as early adversaries of the Doctor.
-
D.
Weerde
Weerde is a village in the Flemish Brabant province of Belgium, known as a residential suburb within the municipality of Zemst.
-
E.
Vezhof
Vezhof is a constructed language associated with the Great Stallion setting, likely designed to reflect the culture and themes of that fictional world.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02dca8881908efd73741397a207 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014150d63081908a5614f85694e57a |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a0141e96e4481908bfdf7a1eb4ac979 |
completed | May 11, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01428ca86881909b18bcfc1c223f22 |
completed | May 11, 2026, 2:44 a.m. |
Created at: April 10, 2026, 5:36 a.m.