Triple
T20689096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian railway line 57 |
E508500
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Maldegem
Maldegem is a municipality in the Belgian province of East Flanders, known for its historical town center and heritage railway attractions.
|
E1468799
|
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: Maldegem | Statement: [Belgian railway line 57, connects, Maldegem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maldegem Context triple: [Belgian railway line 57, connects, Maldegem]
-
A.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
B.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
C.
Lievegem
Lievegem is a municipality in the Belgian province of East Flanders, formed by the merger of several former municipalities and situated within the region around the city of Ghent.
-
D.
Torhout
Torhout is a small city in West Flanders, Belgium, known for its educational institutions and its location near Bruges.
-
E.
Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
- 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: Maldegem Triple: [Belgian railway line 57, connects, Maldegem]
Generated description
Maldegem is a municipality in the Belgian province of East Flanders, known for its historical town center and heritage railway attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maldegem Target entity description: Maldegem is a municipality in the Belgian province of East Flanders, known for its historical town center and heritage railway attractions.
-
A.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
B.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
C.
Lievegem
Lievegem is a municipality in the Belgian province of East Flanders, formed by the merger of several former municipalities and situated within the region around the city of Ghent.
-
D.
Torhout
Torhout is a small city in West Flanders, Belgium, known for its educational institutions and its location near Bruges.
-
E.
Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a096da69304819083401bfe8244b594 |
completed | May 17, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_6a096ec6259c8190a01b2079c50fddb2 |
completed | May 17, 2026, 7:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a096f837ac0819094aa4bd6cf59a1e2 |
completed | May 17, 2026, 7:34 a.m. |
Created at: April 16, 2026, 11:56 a.m.