Triple
T7591559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Funen Archipelago |
E179746
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Strynø
Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
|
E678143
|
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: Strynø | Statement: [South Funen Archipelago, containsIsland, Strynø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strynø Context triple: [South Funen Archipelago, containsIsland, Strynø]
-
A.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
B.
Stryn
Stryn is a municipality in Vestland county, Norway, known for its dramatic fjord and mountain landscapes, glaciers, and popular outdoor tourism activities.
-
C.
Strond
Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
-
D.
Snogebæk
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
-
E.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
- 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: Strynø Triple: [South Funen Archipelago, containsIsland, Strynø]
Generated description
Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strynø Target entity description: Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
-
A.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
B.
Stryn
Stryn is a municipality in Vestland county, Norway, known for its dramatic fjord and mountain landscapes, glaciers, and popular outdoor tourism activities.
-
C.
Strond
Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
-
D.
Snogebæk
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
-
E.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b746ac8190b255afdfb9635f72 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c87080c19c8190ba6a632f6f277621 |
completed | March 29, 2026, 12:21 a.m. |
| NEDg | Description generation | batch_69c873e039908190a9ca7fa7294bff53 |
completed | March 29, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c874347ebc8190829d5304c7744bd6 |
completed | March 29, 2026, 12:37 a.m. |
Created at: March 27, 2026, 3:53 p.m.