Triple
T5490111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osnabrück district |
E123679
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Belm
Belm is a municipality in Lower Saxony, Germany, situated just east of the city of Osnabrück.
|
E522562
|
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: Belm | Statement: [Osnabrück district, contains, Belm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belm Context triple: [Osnabrück district, contains, Belm]
-
A.
Belmar
Belmar is a prominent mixed-use shopping, dining, and entertainment district serving as a central urban hub in Lakewood, Colorado.
-
B.
Belmar
Belmar is a popular coastal borough in Monmouth County, New Jersey, known for its sandy beaches, boardwalk, and vibrant summer tourism scene.
-
C.
Hammond
Hammond is a surname most famously associated with John H. Hammond Jr., the influential American record producer and talent scout who discovered and promoted numerous major jazz, blues, and rock musicians.
-
D.
Ville Haute
Ville Haute is the historic city-center district of Luxembourg City, known for its medieval fortifications, government buildings, and main shopping streets.
-
E.
Belleville
Belleville is a small village in south-central Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
- 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: Belm Triple: [Osnabrück district, contains, Belm]
Generated description
Belm is a municipality in Lower Saxony, Germany, situated just east of the city of Osnabrück.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belm Target entity description: Belm is a municipality in Lower Saxony, Germany, situated just east of the city of Osnabrück.
-
A.
Belmar
Belmar is a prominent mixed-use shopping, dining, and entertainment district serving as a central urban hub in Lakewood, Colorado.
-
B.
Belmar
Belmar is a popular coastal borough in Monmouth County, New Jersey, known for its sandy beaches, boardwalk, and vibrant summer tourism scene.
-
C.
Hammond
Hammond is a surname most famously associated with John H. Hammond Jr., the influential American record producer and talent scout who discovered and promoted numerous major jazz, blues, and rock musicians.
-
D.
Ville Haute
Ville Haute is the historic city-center district of Luxembourg City, known for its medieval fortifications, government buildings, and main shopping streets.
-
E.
Belleville
Belleville is a small village in south-central Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927dcb848190a9d31e2435f8a755 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48ac6e7881908806f88056409b41 |
completed | March 22, 2026, 1:41 a.m. |
| NEDg | Description generation | batch_69bf497a88b48190b87bf175fe224211 |
completed | March 22, 2026, 1:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4a1f6e1c8190a9ae94e45fb16cf9 |
completed | March 22, 2026, 1:47 a.m. |
Created at: March 20, 2026, 2:10 p.m.