Triple
T13084532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristineberg |
E310295
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Ulvsundasjön
Ulvsundasjön is a bay of Lake Mälaren in Stockholm, Sweden, known for bordering several city districts and serving as a popular area for boating and waterfront recreation.
|
E1021083
|
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: Ulvsundasjön | Statement: [Kristineberg, adjacentTo, Ulvsundasjön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulvsundasjön Context triple: [Kristineberg, adjacentTo, Ulvsundasjön]
-
A.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
-
B.
Sandsvatn
Sandsvatn is a freshwater lake on the Faroe Islands' island of Sandoy, known for its scenic surroundings and birdlife.
-
C.
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.
-
D.
Vallentunasjön
Vallentunasjön is a lake in Stockholm County, Sweden, known for its birdlife, recreational activities, and proximity to the town of Vallentuna.
-
E.
Saltsjön
Saltsjön is a bay of the Baltic Sea forming part of the inner Stockholm archipelago and the main sea approach to central Stockholm.
- 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: Ulvsundasjön Triple: [Kristineberg, adjacentTo, Ulvsundasjön]
Generated description
Ulvsundasjön is a bay of Lake Mälaren in Stockholm, Sweden, known for bordering several city districts and serving as a popular area for boating and waterfront recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ulvsundasjön Target entity description: Ulvsundasjön is a bay of Lake Mälaren in Stockholm, Sweden, known for bordering several city districts and serving as a popular area for boating and waterfront recreation.
-
A.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
-
B.
Sandsvatn
Sandsvatn is a freshwater lake on the Faroe Islands' island of Sandoy, known for its scenic surroundings and birdlife.
-
C.
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.
-
D.
Vallentunasjön
Vallentunasjön is a lake in Stockholm County, Sweden, known for its birdlife, recreational activities, and proximity to the town of Vallentuna.
-
E.
Saltsjön
Saltsjön is a bay of the Baltic Sea forming part of the inner Stockholm archipelago and the main sea approach to central Stockholm.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981361e8c819099376435aa3a7aa3 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61060188190911eb3e135dc25ac |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6dae595908190b27980e48514cda5 |
completed | May 3, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6db8f68a4819091d8e67d9c8eec81 |
completed | May 3, 2026, 5:22 a.m. |
Created at: April 9, 2026, 9:02 p.m.