Triple
T7038445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bohuslän |
E163444
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Tjörn
Tjörn is a large Swedish island on the west coast known for its coastal scenery, fishing communities, and maritime culture.
|
E636589
|
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: Tjörn | Statement: [Bohuslän, hasIsland, Tjörn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tjörn Context triple: [Bohuslän, hasIsland, Tjörn]
-
A.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
-
B.
Riddarfjärden
Riddarfjärden is the easternmost bay of Lake Mälaren in central Stockholm, known for its iconic city skyline views and historic waterfront.
-
C.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
-
D.
Lake Mälaren
Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
-
E.
Askrikefjärden
Askrikefjärden is a bay in the inner Stockholm archipelago in Sweden, known for its coastal landscapes and recreational boating waters.
- 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: Tjörn Triple: [Bohuslän, hasIsland, Tjörn]
Generated description
Tjörn is a large Swedish island on the west coast known for its coastal scenery, fishing communities, and maritime culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tjörn Target entity description: Tjörn is a large Swedish island on the west coast known for its coastal scenery, fishing communities, and maritime culture.
-
A.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
-
B.
Riddarfjärden
Riddarfjärden is the easternmost bay of Lake Mälaren in central Stockholm, known for its iconic city skyline views and historic waterfront.
-
C.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
-
D.
Lake Mälaren
Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
-
E.
Askrikefjärden
Askrikefjärden is a bay in the inner Stockholm archipelago in Sweden, known for its coastal landscapes and recreational boating waters.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e223077c819097992089fa83c563 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775ac21888190a1adcf86b49b345f |
completed | March 28, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69c777f9b41881909566511e97725fde |
completed | March 28, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c778717e888190a0b2a5914d13cb71 |
completed | March 28, 2026, 6:42 a.m. |
Created at: March 27, 2026, 2:36 p.m.