Triple
T14835448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaelerplatz |
E348817
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Burggarten |
E288215
|
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: Burggarten | Statement: [Michaelerplatz, near, Burggarten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burggarten Context triple: [Michaelerplatz, near, Burggarten]
-
A.
Burggarten
chosen
Burggarten is a historic public park in central Vienna, Austria, known for its landscaped gardens, statues, and proximity to the former imperial Hofburg Palace.
-
B.
Hofgarten
The Hofgarten is a historic Renaissance-style court garden in central Munich, known for its arcades, pavilions, and role as a popular public park and cultural venue.
-
C.
Volksgarten
Volksgarten is a historic public park in central Vienna renowned for its formal rose gardens, neoclassical monuments, and location along the Ringstrasse.
-
D.
Augarten park
Augarten park is a historic public park in Vienna known for its baroque gardens, tree-lined avenues, and prominent World War II flak towers.
-
E.
Berggarten
Berggarten is a historic botanical garden in Hanover, Germany, renowned for its diverse plant collections and greenhouses.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded076ac9c8190a05cabec5e87d207 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a6b4388190b83bdecb217b9b18 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:52 a.m.