Triple
T20727068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicklaön |
E509463
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Kvarnholmen |
—
|
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: Kvarnholmen | Statement: [Sicklaön, hasNeighborhood, Kvarnholmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvarnholmen Context triple: [Sicklaön, hasNeighborhood, Kvarnholmen]
-
A.
Kvarnholmen
chosen
Kvarnholmen is a former industrial island district in the Stockholm area that has been transformed into a modern residential and waterfront neighborhood.
-
B.
Sandholmen
Sandholmen is an island within Finland’s Pellinge archipelago, known for its coastal nature and maritime surroundings.
-
C.
Nakkholmen
Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord near Oslo, Norway.
-
D.
Munkholmen
Munkholmen is a small historic island off Trondheim, Norway, known for its past roles as a monastery, fortress, prison, and World War II defensive site, and today as a popular tourist destination.
-
E.
Stumholmen island
Stumholmen island is a historic former naval base area in Karlskrona, Sweden, now known for its preserved maritime buildings and the Naval Museum.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e8b020819091d5788b90215ead |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:29 p.m.