Triple
T22641290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beitstadfjorden |
E558831
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Vangshylla
Vangshylla is a small coastal settlement in Trøndelag county, Norway, known for its location along the Beitstadfjorden and its fishing and boating activities.
|
E1549742
|
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: Vangshylla | Statement: [Beitstadfjorden, hasNearbySettlement, Vangshylla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vangshylla Context triple: [Beitstadfjorden, hasNearbySettlement, Vangshylla]
-
A.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
B.
Kvernberget
Kvernberget is a hill and surrounding area in Kristiansund, Norway, known for giving its name to the nearby regional airport.
-
C.
Stöllet
Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
-
D.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
E.
Sköndal
Sköndal is a residential district in southern Stockholm, Sweden, known for its green areas and proximity to lakes.
- 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: Vangshylla Triple: [Beitstadfjorden, hasNearbySettlement, Vangshylla]
Generated description
Vangshylla is a small coastal settlement in Trøndelag county, Norway, known for its location along the Beitstadfjorden and its fishing and boating activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vangshylla Target entity description: Vangshylla is a small coastal settlement in Trøndelag county, Norway, known for its location along the Beitstadfjorden and its fishing and boating activities.
-
A.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
B.
Kvernberget
Kvernberget is a hill and surrounding area in Kristiansund, Norway, known for giving its name to the nearby regional airport.
-
C.
Stöllet
Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
-
D.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
E.
Sköndal
Sköndal is a residential district in southern Stockholm, Sweden, known for its green areas and proximity to lakes.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170116fe881908178cffef26e3ae7 |
completed | April 29, 2026, 2:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73de3b888190b4d9c4771196ece7 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7b6934908190a6501f2f4835682b |
completed | May 18, 2026, 8:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7bc2739081908c4b9b12adf6b658 |
completed | May 18, 2026, 8:51 p.m. |
Created at: April 17, 2026, 3:04 p.m.