Triple
T13669240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munksjön |
E327704
|
entity |
| Predicate | isConnectedTo |
P845
|
FINISHED |
| Object |
Vättern
Vättern is Sweden's second-largest lake, renowned for its clear waters and surrounding historic towns and landscapes.
|
E1055077
|
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: Vättern | Statement: [Munksjön, isConnectedTo, Vättern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vättern Context triple: [Munksjön, isConnectedTo, Vättern]
-
A.
Stora Värtan
Stora Värtan is a bay of the Baltic Sea in the Stockholm archipelago, known for its coastal residential areas, marinas, and recreational boating.
-
B.
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.
-
C.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
-
D.
Bällstaån
Bällstaån is a small river in the Stockholm area of Sweden that flows through several suburbs before emptying into Bällstaviken.
-
E.
Lake Vänern
Lake Vänern is Sweden’s largest lake and one of Europe’s biggest freshwater lakes, known for its extensive archipelagos and important role in regional ecology and transportation.
- 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: Vättern Triple: [Munksjön, isConnectedTo, Vättern]
Generated description
Vättern is Sweden's second-largest lake, renowned for its clear waters and surrounding historic towns and landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vättern Target entity description: Vättern is Sweden's second-largest lake, renowned for its clear waters and surrounding historic towns and landscapes.
-
A.
Stora Värtan
Stora Värtan is a bay of the Baltic Sea in the Stockholm archipelago, known for its coastal residential areas, marinas, and recreational boating.
-
B.
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.
-
C.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
-
D.
Bällstaån
Bällstaån is a small river in the Stockholm area of Sweden that flows through several suburbs before emptying into Bällstaviken.
-
E.
Lake Vänern
Lake Vänern is Sweden’s largest lake and one of Europe’s biggest freshwater lakes, known for its extensive archipelagos and important role in regional ecology and transportation.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943bfaf0819097410e901847d77c |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79655d5f08190a3cbf3e12e2ffa67 |
completed | May 3, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7972a1cf48190a1d435227414967a |
completed | May 3, 2026, 6:42 p.m. |
Created at: April 9, 2026, 9:53 p.m.