Triple
T21703436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bohuslän |
E535711
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object | Tjörn |
—
|
NE NERFINISHED |
How this triple was built (2 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, containsIsland, Tjörn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tjörn Context triple: [Bohuslän, containsIsland, Tjörn]
-
A.
Tjörn
chosen
Tjörn is a large Swedish island on the west coast known for its coastal scenery, fishing communities, and maritime culture.
-
B.
Mossesundet
Mossesundet is a strait in southeastern Norway that separates the town of Moss from the island of Jeløya.
-
C.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
-
D.
Mjörn
Mjörn is a lake in western Sweden, known for its scenic surroundings and recreational opportunities near the town of Alingsås.
-
E.
Riddarfjärden
Riddarfjärden is the easternmost bay of Lake Mälaren in central Stockholm, known for its iconic city skyline views and historic waterfront.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b82901c81909de242c920fbc164 |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 16, 2026, 6:46 p.m.