Triple
T23079903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | east coast of Öland |
E575438
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Färjestaden |
—
|
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: Färjestaden | Statement: [east coast of Öland, hasSettlement, Färjestaden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Färjestaden Context triple: [east coast of Öland, hasSettlement, Färjestaden]
-
A.
Färjestaden
chosen
Färjestaden is a coastal town on the Swedish island of Öland, known as a key gateway via the Öland Bridge to the mainland city of Kalmar.
-
B.
Náströnd
Náströnd is a grim shore in Norse mythology where the souls of the most wicked are punished in a hall woven of serpents and dripping venom.
-
C.
Frihamnen
Frihamnen is a harbor area in Stockholm, Sweden, known for its ferry terminals, cargo operations, and ongoing redevelopment into a mixed-use urban district.
-
D.
Lysekil
Lysekil is a coastal town in western Sweden known for its picturesque archipelago, fishing heritage, and popular seaside tourism.
-
E.
Port of Halmstad
The Port of Halmstad is a commercial seaport in Halmstad, Sweden, handling cargo, logistics, and maritime traffic along the country’s west coast.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c66a80481909ebc2ba69f1e4bd9 |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.