Triple
T22519934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamla stan metro station |
E556746
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Stadsholmen |
—
|
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: Stadsholmen | Statement: [Gamla stan metro station, locatedNear, Stadsholmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadsholmen Context triple: [Gamla stan metro station, locatedNear, Stadsholmen]
-
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.
Skeppsholmen
Skeppsholmen is a small central Stockholm island known for its historic naval heritage, museums, and scenic waterfront views.
-
C.
Storholmen
Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
-
D.
Kastellholmen
Kastellholmen is a small island in central Stockholm, Sweden, known for its historic red-brick citadel and scenic waterfront views.
-
E.
Askholmen
Askholmen is a small Norwegian island located within Askøy Municipality in Vestland county.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e31f43c8190899f5e35b150fe85 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.