Triple
T20497885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehel district |
E502920
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Praterinsel |
—
|
NE NERFINISHED |
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: Praterinsel | Statement: [Lehel district, hasLandmark, Praterinsel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praterinsel Context triple: [Lehel district, hasLandmark, Praterinsel]
-
A.
Praterinsel
chosen
Praterinsel is a small island in the Isar River in central Munich, known for its cultural events, historic buildings, and riverside recreation.
-
B.
Maximiliansinsel
Maximiliansinsel is a small, picturesque island located in the alpine Eibsee lake at the foot of Germany’s Zugspitze mountain.
-
C.
Pfaueninsel
Pfaueninsel is a small, historic island on the Havel River in Berlin, Germany, known for its romantic landscape park, palace, and free-roaming peacocks.
-
D.
Luiseninsel
Luiseninsel is a small island and landscaped area within Berlin’s Großer Tiergarten park, known for its tranquil paths and natural scenery.
-
E.
Donauinsel
Donauinsel is a long, narrow artificial island in Vienna’s section of the Danube, known as a major recreational area and flood protection structure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbefe4c819098af5bfd4d92341d |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.