Triple
T4365743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Femunden |
E98766
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Storholmen
Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
|
E433552
|
NE FINISHED |
How this triple was built (4 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: Storholmen | Statement: [Femunden, hasIsland, Storholmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storholmen Context triple: [Femunden, hasIsland, Storholmen]
-
A.
Stadsholmen
Stadsholmen is the central island in Stockholm’s historic Gamla stan (Old Town), known for its medieval street layout and well-preserved architecture.
-
B.
Lindholmen
Lindholmen is a small locality in Vallentuna Municipality in Stockholm County, Sweden, known for its residential character and proximity to natural and historical sites.
-
C.
Lindholmen
Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
-
D.
Kungsholmen
Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
-
E.
Skärholmen
Skärholmen is a suburban district in southwestern Stockholm, Sweden, known for its large shopping center and residential areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Storholmen Triple: [Femunden, hasIsland, Storholmen]
Generated description
Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storholmen Target entity description: Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
-
A.
Stadsholmen
Stadsholmen is the central island in Stockholm’s historic Gamla stan (Old Town), known for its medieval street layout and well-preserved architecture.
-
B.
Lindholmen
Lindholmen is a small locality in Vallentuna Municipality in Stockholm County, Sweden, known for its residential character and proximity to natural and historical sites.
-
C.
Lindholmen
Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
-
D.
Kungsholmen
Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
-
E.
Skärholmen
Skärholmen is a suburban district in southwestern Stockholm, Sweden, known for its large shopping center and residential areas.
- F. None of above. chosen
Provenance (5 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35200263081909bb326a4d7a8db99 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcbbd1881908eb9f0ea6b2fe16b |
completed | March 14, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69b5dcf36dfc8190847925dbed92c059 |
completed | March 14, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ddad45b8819082ac7a3a9c5f2f07 |
completed | March 14, 2026, 10:14 p.m. |
Created at: March 12, 2026, 11:17 p.m.