Triple
T31682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abel Prize |
E632
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Oslo
Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
|
E3654
|
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: Oslo | Statement: [Abel Prize, location, Oslo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oslo Context triple: [Abel Prize, location, Oslo]
-
A.
Amsterdam
Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
-
B.
Moscow
Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
-
C.
Geneva
Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
-
D.
St. Petersburg
St. Petersburg is a major Russian port city on the Baltic Sea, renowned for its imperial architecture, cultural heritage, and role as a historic capital of Russia.
-
E.
Paris
Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
- 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: Oslo Triple: [Abel Prize, location, Oslo]
Generated description
Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oslo Target entity description: Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
-
A.
Amsterdam
Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
-
B.
Moscow
Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
-
C.
Geneva
Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
-
D.
Charlotte Amalie
Charlotte Amalie is the largest city and main commercial and tourism hub of the U.S. Virgin Islands, located on the island of St. Thomas in the Caribbean.
-
E.
St. Petersburg
St. Petersburg is a major Russian port city on the Baltic Sea, renowned for its imperial architecture, cultural heritage, and role as a historic capital of Russia.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2487838f881908ab8eda6c6ae53e4 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e5ec6308190ad27b8b28b3f59d2 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a250c8cf7c8190b71c65d204d21fd8 |
completed | Feb. 28, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25147eccc8190b6151a03b064d31c |
completed | Feb. 28, 2026, 2:22 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.