Triple
T1819613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brakel |
E40512
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Lierde
Lierde is a small municipality in the Flemish province of East Flanders, Belgium, known for its rural character and rolling countryside.
|
E450428
|
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: Lierde | Statement: [Brakel, hasNeighbouringMunicipality, Lierde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lierde Context triple: [Brakel, hasNeighbouringMunicipality, Lierde]
-
A.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
B.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
C.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
-
D.
Doetinchem
Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
-
E.
Wijchen
Wijchen is a town and municipality in the Dutch province of Gelderland, located just southwest of the city of Nijmegen.
- 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: Lierde Triple: [Brakel, hasNeighbouringMunicipality, Lierde]
Generated description
Lierde is a small municipality in the Flemish province of East Flanders, Belgium, known for its rural character and rolling countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lierde Target entity description: Lierde is a small municipality in the Flemish province of East Flanders, Belgium, known for its rural character and rolling countryside.
-
A.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
B.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
C.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
-
D.
Doetinchem
Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
-
E.
Wijchen
Wijchen is a town and municipality in the Dutch province of Gelderland, located just southwest of the city of Nijmegen.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65f9f32c819084948e7ce7fa6f2e |
completed | March 6, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacb883188190a213986b2816cde2 |
completed | March 20, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69bdad4e4a6c81908b5fabc7b0ec82b2 |
completed | March 20, 2026, 8:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdadad12fc81908a2424e353eeca34 |
completed | March 20, 2026, 8:27 p.m. |
Created at: March 4, 2026, 7:32 p.m.