Triple
T10445618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloetta |
E246278
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Juleskum
Juleskum is a popular Swedish marshmallow candy, typically Santa-shaped and strawberry-flavored, traditionally eaten around Christmas.
|
E864260
|
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: Juleskum | Statement: [Cloetta, brand, Juleskum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juleskum Context triple: [Cloetta, brand, Juleskum]
-
A.
Eemnes
Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
-
B.
Tejn
Tejn is a small coastal town and fishing port on the Danish island of Bornholm in the Baltic Sea.
-
C.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
-
D.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
-
E.
Jenolan
Jenolan is a small locality in New South Wales, Australia, best known as the gateway to the famous Jenolan Caves and surrounding Blue Mountains wilderness.
- 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: Juleskum Triple: [Cloetta, brand, Juleskum]
Generated description
Juleskum is a popular Swedish marshmallow candy, typically Santa-shaped and strawberry-flavored, traditionally eaten around Christmas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juleskum Target entity description: Juleskum is a popular Swedish marshmallow candy, typically Santa-shaped and strawberry-flavored, traditionally eaten around Christmas.
-
A.
Eemnes
Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
-
B.
Tejn
Tejn is a small coastal town and fishing port on the Danish island of Bornholm in the Baltic Sea.
-
C.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
-
D.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
-
E.
Jenolan
Jenolan is a small locality in New South Wales, Australia, best known as the gateway to the famous Jenolan Caves and surrounding Blue Mountains wilderness.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbf81508190a160edea85105d3a |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eeae8788190b63534fa4f942ead |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c3fdcc8190a67a7f7788b8a2e8 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dc15ab481909011c5de93bbab14 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:16 p.m.