Triple
T10373929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss municipality |
E244452
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Sprint-Jeløy
Sprint-Jeløy is a Norwegian sports club based in Moss, known primarily for its football activities.
|
E860791
|
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: Sprint-Jeløy | Statement: [Moss municipality, hasSportsClub, Sprint-Jeløy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprint-Jeløy Context triple: [Moss municipality, hasSportsClub, Sprint-Jeløy]
-
A.
Skeid
Skeid is a Norwegian sports club best known for its football team and local rivalry with Lyn in Oslo.
-
B.
Skudai
Skudai is a rapidly developing suburban town in the Malaysian state of Johor, known for housing Universiti Teknologi Malaysia and serving as part of the greater Johor Bahru metropolitan area.
-
C.
Simoa
Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
-
D.
Sail Kampen
Sail Kampen is a major Dutch maritime festival featuring historic sailing ships, nautical demonstrations, and cultural activities along the IJssel River in the city of Kampen.
-
E.
Icebreaker Sampo
Icebreaker Sampo is a former Finnish icebreaker turned popular tourist vessel offering ice-cruises and Arctic experiences in the Gulf of Bothnia near Kemi.
- 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: Sprint-Jeløy Triple: [Moss municipality, hasSportsClub, Sprint-Jeløy]
Generated description
Sprint-Jeløy is a Norwegian sports club based in Moss, known primarily for its football activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sprint-Jeløy Target entity description: Sprint-Jeløy is a Norwegian sports club based in Moss, known primarily for its football activities.
-
A.
Skeid
Skeid is a Norwegian sports club best known for its football team and local rivalry with Lyn in Oslo.
-
B.
Skudai
Skudai is a rapidly developing suburban town in the Malaysian state of Johor, known for housing Universiti Teknologi Malaysia and serving as part of the greater Johor Bahru metropolitan area.
-
C.
Simoa
Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
-
D.
Sail Kampen
Sail Kampen is a major Dutch maritime festival featuring historic sailing ships, nautical demonstrations, and cultural activities along the IJssel River in the city of Kampen.
-
E.
Icebreaker Sampo
Icebreaker Sampo is a former Finnish icebreaker turned popular tourist vessel offering ice-cruises and Arctic experiences in the Gulf of Bothnia near Kemi.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956ca1e08190880342b22a55783f |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:02 p.m.