Triple
T15937027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donaustadt |
E386464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Aspern |
E188979
|
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: Aspern | Statement: [Donaustadt, contains, Aspern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aspern Context triple: [Donaustadt, contains, Aspern]
-
A.
Aspern
chosen
Aspern is a district in Vienna, Austria, historically notable as one of the main sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
-
B.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
C.
Baltschieder
Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
-
D.
Penzing
Penzing is a district in the western part of Vienna, Austria, known for its residential areas, green spaces, and proximity to the Vienna Woods.
-
E.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
- 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_69ffb5b8121881909b15bf6451d3d3a8 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.