Triple
T8713118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eibsee |
E206827
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Sasseninsel
Sasseninsel is a small island located in the Eibsee, a picturesque alpine lake near the Zugspitze in Bavaria, Germany.
|
E753801
|
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: Sasseninsel | Statement: [Eibsee, hasIsland, Sasseninsel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sasseninsel Context triple: [Eibsee, hasIsland, Sasseninsel]
-
A.
Johannisinsel
Johannisinsel is a small island in the Königssee lake in Bavaria, Germany, known for its historic statue of Saint John of Nepomuk.
-
B.
Roseninsel
Roseninsel is a small, historically significant island in Lake Starnberg in Bavaria, Germany, known for its rose gardens and former royal retreat.
-
C.
Humboldt-Insel
Humboldt-Insel is a small island in Berlin’s Spree River, known for its residential areas and proximity to the city’s central districts.
-
D.
Schnäggeninseli
Schnäggeninseli is a small, picturesque island in Switzerland’s Lake Brienz, known for its natural beauty and tranquil setting.
-
E.
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.
- 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: Sasseninsel Triple: [Eibsee, hasIsland, Sasseninsel]
Generated description
Sasseninsel is a small island located in the Eibsee, a picturesque alpine lake near the Zugspitze in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sasseninsel Target entity description: Sasseninsel is a small island located in the Eibsee, a picturesque alpine lake near the Zugspitze in Bavaria, Germany.
-
A.
Johannisinsel
Johannisinsel is a small island in the Königssee lake in Bavaria, Germany, known for its historic statue of Saint John of Nepomuk.
-
B.
Roseninsel
Roseninsel is a small, historically significant island in Lake Starnberg in Bavaria, Germany, known for its rose gardens and former royal retreat.
-
C.
Humboldt-Insel
Humboldt-Insel is a small island in Berlin’s Spree River, known for its residential areas and proximity to the city’s central districts.
-
D.
Schnäggeninseli
Schnäggeninseli is a small, picturesque island in Switzerland’s Lake Brienz, known for its natural beauty and tranquil setting.
-
E.
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.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd522a88190a32facd86206af66 |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28cd239c81909d1feb98b652eb26 |
completed | April 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69cf2bd14c3c8190b43840ee57cca22c |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2cb3c4308190971fb3d25064f205 |
completed | April 3, 2026, 2:57 a.m. |
Created at: March 30, 2026, 6:35 p.m.