Triple
T7092267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molsheim |
E165223
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Poperinge
Poperinge is a Belgian town in West Flanders known for its hop-growing tradition and historic role as a rear-area center during World War I.
|
E691679
|
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: Poperinge | Statement: [Molsheim, twinnedWith, Poperinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poperinge Context triple: [Molsheim, twinnedWith, Poperinge]
-
A.
Beringen
Beringen is a city and municipality in the Belgian province of Limburg, known for its coal mining heritage and the be-MINE industrial heritage site.
-
B.
Aalst
Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
-
C.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
-
D.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
E.
De Moer
De Moer is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the Loonse en Drunense Duinen national park.
- 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: Poperinge Triple: [Molsheim, twinnedWith, Poperinge]
Generated description
Poperinge is a Belgian town in West Flanders known for its hop-growing tradition and historic role as a rear-area center during World War I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poperinge Target entity description: Poperinge is a Belgian town in West Flanders known for its hop-growing tradition and historic role as a rear-area center during World War I.
-
A.
Beringen
Beringen is a city and municipality in the Belgian province of Limburg, known for its coal mining heritage and the be-MINE industrial heritage site.
-
B.
Aalst
Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
-
C.
Merelbeke
Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
-
D.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
E.
De Moer
De Moer is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the Loonse en Drunense Duinen national park.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e532513c8190968eea8a0d3235a0 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c99ba1bbdc81909269ac0a97caa91d |
completed | March 29, 2026, 9:37 p.m. |
| NEDg | Description generation | batch_69c99f9d6d988190b69500ae0a1b6f6c |
completed | March 29, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9a057f37c8190837e56f60b1edb2e |
completed | March 29, 2026, 9:57 p.m. |
Created at: March 27, 2026, 2:41 p.m.