Triple
T17053080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tubbergen |
E413749
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Albergen
Albergen is a small village in the Dutch province of Overijssel, located within the municipality of Tubbergen.
|
E1248527
|
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: Albergen | Statement: [Tubbergen, hasSettlement, Albergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albergen Context triple: [Tubbergen, hasSettlement, Albergen]
-
A.
Adelberg
Adelberg is the original family surname of American songwriter and producer Jeff Barry, known for his influential work in 1960s pop music.
-
B.
Adelberg
Adelberg is a small municipality in the Göppingen district of Baden-Württemberg in southern Germany, known for its scenic setting in the Swabian region.
-
C.
Althegnenberg
Althegnenberg is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
-
D.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
E.
Alloga
Alloga is a healthcare logistics and distribution company specializing in supply chain solutions for the pharmaceutical and healthcare industries.
- 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: Albergen Triple: [Tubbergen, hasSettlement, Albergen]
Generated description
Albergen is a small village in the Dutch province of Overijssel, located within the municipality of Tubbergen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albergen Target entity description: Albergen is a small village in the Dutch province of Overijssel, located within the municipality of Tubbergen.
-
A.
Adelberg
Adelberg is the original family surname of American songwriter and producer Jeff Barry, known for his influential work in 1960s pop music.
-
B.
Adelberg
Adelberg is a small municipality in the Göppingen district of Baden-Württemberg in southern Germany, known for its scenic setting in the Swabian region.
-
C.
Althegnenberg
Althegnenberg is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
-
D.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
E.
Alloga
Alloga is a healthcare logistics and distribution company specializing in supply chain solutions for the pharmaceutical and healthcare industries.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.