Triple
T2736466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town, Stockholm |
E60641
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Helgeandsholmen |
E293399
|
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: Helgeandsholmen | Statement: [Old Town, Stockholm, locatedOn, Helgeandsholmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helgeandsholmen Context triple: [Old Town, Stockholm, locatedOn, Helgeandsholmen]
-
A.
Stadsholmen
chosen
Stadsholmen is the central island in Stockholm’s historic Gamla stan (Old Town), known for its medieval street layout and well-preserved architecture.
-
B.
Gressholmen
Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
-
C.
Amager Island
Amager Island is a Danish island in the Øresund Strait that forms a significant part of Copenhagen’s urban area and hosts both residential districts and Copenhagen Airport.
-
D.
Nakkholmen
Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord near Oslo, Norway.
-
E.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb11c66c81909058f2978aa5fae9 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbc430ec8190a54f805cd0067b97 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.