Triple
T1073468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornholm |
E23381
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Snogebæk
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
|
E138842
|
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: Snogebæk | Statement: [Bornholm, hasVillage, Snogebæk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snogebæk Context triple: [Bornholm, hasVillage, Snogebæk]
-
A.
Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
-
B.
Femunden
Femunden is one of Norway's largest lakes, located in the eastern part of the country near the Swedish border and known for its wilderness landscapes and outdoor recreation.
-
C.
Hjørundfjord
Hjørundfjord is a dramatic, narrow fjord in Norway’s Sunnmøre region, renowned for its steep mountain walls, deep waters, and scenic, relatively untouched natural landscapes.
-
D.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
E.
Søre Ål
Søre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
- 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: Snogebæk Triple: [Bornholm, hasVillage, Snogebæk]
Generated description
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snogebæk Target entity description: Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
-
A.
Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
-
B.
Femunden
Femunden is one of Norway's largest lakes, located in the eastern part of the country near the Swedish border and known for its wilderness landscapes and outdoor recreation.
-
C.
Hjørundfjord
Hjørundfjord is a dramatic, narrow fjord in Norway’s Sunnmøre region, renowned for its steep mountain walls, deep waters, and scenic, relatively untouched natural landscapes.
-
D.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
E.
Søre Ål
Søre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92afad88190b7705923f71fc760 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8303cbec8190a3b8a9bad2434ee7 |
completed | March 7, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69ac83a2d15c8190abd20fa3a98b89cf |
completed | March 7, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac84131858819097330fb693b3f0bd |
completed | March 7, 2026, 8:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.