Triple
T13113748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tegeler Insel |
E311038
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Tegeler Insel |
E311038
|
NE FINISHED |
How this triple was built (2 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: Tegeler Insel | Statement: [Tegeler Insel, hasName, Tegeler Insel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegeler Insel Context triple: [Tegeler Insel, hasName, Tegeler Insel]
-
A.
Tegeler Insel
chosen
Tegeler Insel is an island located within Lake Tegel in Berlin, Germany, known for its natural setting and recreational surroundings.
-
B.
Schlossinsel Köpenick
Schlossinsel Köpenick is a historic island in Berlin’s Köpenick district, best known for its baroque Köpenick Palace and scenic location where the Dahme and Spree rivers meet.
-
C.
Maximiliansinsel
Maximiliansinsel is a small, picturesque island located in the alpine Eibsee lake at the foot of Germany’s Zugspitze mountain.
-
D.
Schweriner Ufer islands
The Schweriner Ufer islands are a small group of river islands located near Baumwerder in the Havel area of Berlin, Germany.
-
E.
Luiseninsel
Luiseninsel is a small island and landscaped area within Berlin’s Großer Tiergarten park, known for its tranquil paths and natural scenery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27f5c4481909bc323c9d0c83dc9 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:06 p.m.