Triple
T10634398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vlissingen |
E250539
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Oost-Souburg
Oost-Souburg is a town in the Dutch province of Zeeland that forms part of the municipality of Vlissingen.
|
E876447
|
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: Oost-Souburg | Statement: [Vlissingen, hasSubdivision, Oost-Souburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oost-Souburg Context triple: [Vlissingen, hasSubdivision, Oost-Souburg]
-
A.
Zuidhorn
Zuidhorn is a village and former municipality in the province of Groningen in the northern Netherlands, known for its rural character and proximity to the city of Groningen.
-
B.
Numansdorp
Numansdorp is a village in the western Netherlands known for its rural character and location on the island of Hoeksche Waard.
-
C.
Rijsbergen
Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
-
D.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
E.
Moosseedorf
Moosseedorf is a municipality in the canton of Bern in Switzerland, known for its proximity to the city of Bern and the nearby Moossee lake.
- 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: Oost-Souburg Triple: [Vlissingen, hasSubdivision, Oost-Souburg]
Generated description
Oost-Souburg is a town in the Dutch province of Zeeland that forms part of the municipality of Vlissingen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oost-Souburg Target entity description: Oost-Souburg is a town in the Dutch province of Zeeland that forms part of the municipality of Vlissingen.
-
A.
Zuidhorn
Zuidhorn is a village and former municipality in the province of Groningen in the northern Netherlands, known for its rural character and proximity to the city of Groningen.
-
B.
Numansdorp
Numansdorp is a village in the western Netherlands known for its rural character and location on the island of Hoeksche Waard.
-
C.
Rijsbergen
Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
-
D.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
E.
Moosseedorf
Moosseedorf is a municipality in the canton of Bern in Switzerland, known for its proximity to the city of Bern and the nearby Moossee lake.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfab47bc819086684edc1b6dce74 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bbd64d8819089d55af875d39e45 |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d9701de92881908c0b8f05eae97e35 |
completed | April 10, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d970f3f78081909bcb2dae6dae06d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 8, 2026, 9:03 p.m.