Triple
T15937028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donaustadt |
E386464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Essling |
E207367
|
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: Essling | Statement: [Donaustadt, contains, Essling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essling Context triple: [Donaustadt, contains, Essling]
-
A.
Essling
chosen
Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
-
B.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
C.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
D.
Wessobrunn
Wessobrunn is a Bavarian municipality best known for the Wessobrunn Abbey and its early medieval "Wessobrunn Prayer," one of the oldest poetic texts in the German language.
-
E.
Ottobrunn
Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
- 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_6a00580789c08190994c5c71525aadc6 |
completed | May 10, 2026, 10:03 a.m. |
Created at: April 10, 2026, 4:53 a.m.