Triple
T4916957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilla Värtan |
E110372
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Husarviken
Husarviken is a bay in Stockholm, Sweden, known as an inlet of the larger waterway Lilla Värtan and surrounded by residential and recreational areas.
|
E482639
|
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: Husarviken | Statement: [Lilla Värtan, hasPart, Husarviken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Husarviken Context triple: [Lilla Värtan, hasPart, Husarviken]
-
A.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
B.
Viimsi
Viimsi is a rapidly developing suburban municipality in northern Estonia, located just northeast of the capital city Tallinn.
-
C.
Sennevika
Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
-
D.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
-
E.
Munksjön
Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
- 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: Husarviken Triple: [Lilla Värtan, hasPart, Husarviken]
Generated description
Husarviken is a bay in Stockholm, Sweden, known as an inlet of the larger waterway Lilla Värtan and surrounded by residential and recreational areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Husarviken Target entity description: Husarviken is a bay in Stockholm, Sweden, known as an inlet of the larger waterway Lilla Värtan and surrounded by residential and recreational areas.
-
A.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
B.
Viimsi
Viimsi is a rapidly developing suburban municipality in northern Estonia, located just northeast of the capital city Tallinn.
-
C.
Sennevika
Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
-
D.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
-
E.
Munksjön
Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa559608190aa8d02b1547b8f97 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81bfb44481909f67d726dacec37d |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be842c58a481909a0bd1d608a59d88 |
completed | March 21, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be848b0df88190aba28a258d8a706e |
completed | March 21, 2026, 11:44 a.m. |
Created at: March 20, 2026, 1:29 p.m.