Triple
T12444961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helgeandsholmen |
E297374
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Skeppsholmen |
E476079
|
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: Skeppsholmen | Statement: [Helgeandsholmen, adjacentTo, Skeppsholmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skeppsholmen Context triple: [Helgeandsholmen, adjacentTo, Skeppsholmen]
-
A.
Skeppsholmen
chosen
Skeppsholmen is a small central Stockholm island known for its historic naval heritage, museums, and scenic waterfront views.
-
B.
Stadsholmen
Stadsholmen is the central island in Stockholm’s historic Gamla stan (Old Town), known for its medieval street layout and well-preserved architecture.
-
C.
Kungsholmen
Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
-
D.
Storholmen
Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
-
E.
Kastellholmen
Kastellholmen is a small island in central Stockholm, Sweden, known for its historic red-brick citadel and scenic waterfront views.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8fd9848190a83410353d88ea8d |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66857f5c88190b72debe80fb87727 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:55 p.m.