Triple
T1848266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammersee |
E41332
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Schwedeninsel
Schwedeninsel is a small, wooded island located in the Bavarian lake Ammersee in southern Germany.
|
E221047
|
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: Schwedeninsel | Statement: [Ammersee, hasIsland, Schwedeninsel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwedeninsel Context triple: [Ammersee, hasIsland, Schwedeninsel]
-
A.
Ekerö Island
Ekerö Island is a Swedish island in Lake Mälaren, known for its scenic landscapes and proximity to Stockholm.
-
B.
Helgoland
Helgoland is a small German archipelago in the North Sea known for its dramatic red sandstone cliffs, unique wildlife, and historical significance as a strategic naval and cultural site.
-
C.
Öland
Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
-
D.
Rote Insel
Rote Insel is a distinctive, historically working-class neighborhood in Berlin known for its island-like layout encircled by railway lines and its rich social and cultural history.
-
E.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
- 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: Schwedeninsel Triple: [Ammersee, hasIsland, Schwedeninsel]
Generated description
Schwedeninsel is a small, wooded island located in the Bavarian lake Ammersee in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwedeninsel Target entity description: Schwedeninsel is a small, wooded island located in the Bavarian lake Ammersee in southern Germany.
-
A.
Ekerö Island
Ekerö Island is a Swedish island in Lake Mälaren, known for its scenic landscapes and proximity to Stockholm.
-
B.
Helgoland
Helgoland is a small German archipelago in the North Sea known for its dramatic red sandstone cliffs, unique wildlife, and historical significance as a strategic naval and cultural site.
-
C.
Öland
Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
-
D.
Rote Insel
Rote Insel is a distinctive, historically working-class neighborhood in Berlin known for its island-like layout encircled by railway lines and its rich social and cultural history.
-
E.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb05412a08190855ea453d1264ea3 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030a0d3081908641c4a40e5b7700 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae037591a881908b353e0e8a8cc7ce |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae03d69c808190810ca1de51552e8c |
completed | March 8, 2026, 11:18 p.m. |
Created at: March 4, 2026, 7:33 p.m.