Triple
T19581324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanasadam |
E489991
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Kapellskär
Kapellskär is a Swedish port on the Baltic Sea, north of Stockholm, that serves as a major ferry terminal for routes to Finland and the Baltic states.
|
E1385278
|
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: Kapellskär | Statement: [Vanasadam, connectsTo, Kapellskär]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapellskär Context triple: [Vanasadam, connectsTo, Kapellskär]
-
A.
Houtskär
Houtskär is an island and former municipality in the Turku Archipelago of southwest Finland, known for its rugged coastal scenery and traditional Finnish-Swedish island culture.
-
B.
Skutskär
Skutskär is a locality in Uppsala County, Sweden, known historically for its pulp and paper industry.
-
C.
Kållandsö
Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
-
D.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
E.
Adelsö
Adelsö is an island in Sweden’s Lake Mälaren known for its rich Viking Age history and archaeological sites.
- 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: Kapellskär Triple: [Vanasadam, connectsTo, Kapellskär]
Generated description
Kapellskär is a Swedish port on the Baltic Sea, north of Stockholm, that serves as a major ferry terminal for routes to Finland and the Baltic states.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapellskär Target entity description: Kapellskär is a Swedish port on the Baltic Sea, north of Stockholm, that serves as a major ferry terminal for routes to Finland and the Baltic states.
-
A.
Houtskär
Houtskär is an island and former municipality in the Turku Archipelago of southwest Finland, known for its rugged coastal scenery and traditional Finnish-Swedish island culture.
-
B.
Skutskär
Skutskär is a locality in Uppsala County, Sweden, known historically for its pulp and paper industry.
-
C.
Kållandsö
Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
-
D.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
E.
Adelsö
Adelsö is an island in Sweden’s Lake Mälaren known for its rich Viking Age history and archaeological sites.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e640281b7c8190be44268a58df058f |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f0d5f608190b28b877fd8c1dfb6 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a0760f5a32c81908a0b405a72f859f1 |
completed | May 15, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0761c8b3008190bbc7a29412b49045 |
completed | May 15, 2026, 6:11 p.m. |
Created at: April 10, 2026, 1:42 p.m.