Triple
T7037689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mörbylånga Municipality |
E163424
|
entity |
| Predicate | hasPopulationCenter |
P2106
|
FINISHED |
| Object | Färjestaden |
E138814
|
NE FINISHED |
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: [Mörbylånga Municipality, hasPopulationCenter, Färjestaden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Färjestaden Context triple: [Mörbylånga Municipality, hasPopulationCenter, 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.
Strömstad harbor
Strömstad harbor is a coastal port area in the Swedish town of Strömstad, known for its ferry connections, boating activities, and access to the surrounding archipelago.
-
D.
Vaxholm
Vaxholm is a small coastal town and municipality in the Stockholm archipelago of eastern Sweden, known for its historic fortress and picturesque waterfront.
-
E.
Karlskrona
Karlskrona is a historic Swedish coastal city and naval base known for its well-preserved maritime architecture and UNESCO-listed naval port.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6e221a7988190b6b69782a275abb7 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78863c2fc8190b9b54613968742e1 |
completed | March 28, 2026, 7:50 a.m. |
Created at: March 27, 2026, 2:36 p.m.