Triple
T15937194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaisermühlen |
E386467
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Danube Island |
E1184441
|
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: Danube Island | Statement: [Kaisermühlen, near, Danube Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danube Island Context triple: [Kaisermühlen, near, Danube Island]
-
A.
Donauinsel
chosen
Donauinsel is a long, narrow artificial island in Vienna’s section of the Danube, known as a major recreational area and flood protection structure.
-
B.
Cezi Island
Cezi Island is one of the principal islands in China’s Zhoushan Archipelago, known for its coastal scenery and maritime activities in the East China Sea.
-
C.
Zeleny Island
Zeleny Island is a small island in the Kuril Islands chain of Russia, notable for its protected natural areas and wildlife habitats.
-
D.
Reichenau Island
Reichenau Island is a UNESCO World Heritage island in Lake Constance, Germany, renowned for its medieval monastic heritage and well-preserved churches.
-
E.
Isar River island
Isar River island is a small island in the Isar River in Munich, Germany, known for hosting major cultural and scientific institutions and providing riverside recreational space.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ab7f548190b2d1aafa0e6d2c24 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7455c48190bfad24eb8905426d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.