Triple
T21963623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grønland |
E542400
|
entity |
| Predicate | hasPublicSpace |
P105
|
FINISHED |
| Object |
Grønlands torg
Grønlands torg is a public square and gathering place in the Grønland neighborhood of Oslo, Norway, known for its urban bustle and multicultural surroundings.
|
E1510346
|
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: Grønlands torg | Statement: [Grønland, hasPublicSpace, Grønlands torg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grønlands torg Context triple: [Grønland, hasPublicSpace, Grønlands torg]
-
A.
Bragernes Torg
Bragernes Torg is the central town square of Drammen, Norway, known as a major public gathering place surrounded by shops, cafes, and cultural venues.
-
B.
Gilleleje
Gilleleje is a coastal town and fishing port in northern Zealand, Denmark, known for its harbor, beaches, and maritime heritage.
-
C.
Grenaa
Grenaa is a coastal town in eastern Jutland, Denmark, known for its ferry connections to the island of Anholt and its role as a regional commercial and educational center.
-
D.
Strømsø Torg
Strømsø Torg is a central public square and transport hub in the Strømsø district of Drammen, Norway.
-
E.
Nesodden
Nesodden is a municipality and peninsula in southeastern Norway, situated across the Oslofjord from the capital city of Oslo.
- 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: Grønlands torg Triple: [Grønland, hasPublicSpace, Grønlands torg]
Generated description
Grønlands torg is a public square and gathering place in the Grønland neighborhood of Oslo, Norway, known for its urban bustle and multicultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grønlands torg Target entity description: Grønlands torg is a public square and gathering place in the Grønland neighborhood of Oslo, Norway, known for its urban bustle and multicultural surroundings.
-
A.
Bragernes Torg
Bragernes Torg is the central town square of Drammen, Norway, known as a major public gathering place surrounded by shops, cafes, and cultural venues.
-
B.
Gilleleje
Gilleleje is a coastal town and fishing port in northern Zealand, Denmark, known for its harbor, beaches, and maritime heritage.
-
C.
Grenaa
Grenaa is a coastal town in eastern Jutland, Denmark, known for its ferry connections to the island of Anholt and its role as a regional commercial and educational center.
-
D.
Strømsø Torg
Strømsø Torg is a central public square and transport hub in the Strømsø district of Drammen, Norway.
-
E.
Nesodden
Nesodden is a municipality and peninsula in southeastern Norway, situated across the Oslofjord from the capital city of Oslo.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12458e4488190a04f8d3958854b49 |
completed | April 28, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6712b37c8190b2ff58713f1b45ee |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a67a1c82881909f71e24139576c31 |
completed | May 18, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a68583248819085f413692d35c1b9 |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:01 p.m.