Triple
T12102063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heldenplatz |
E288214
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Neue Burg |
E1009464
|
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: Neue Burg | Statement: [Heldenplatz, adjacentTo, Neue Burg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neue Burg Context triple: [Heldenplatz, adjacentTo, Neue Burg]
-
A.
Neue Burg
chosen
Neue Burg is a wing of Vienna’s Hofburg Palace complex, built in the late 19th and early 20th centuries and now housing several museums and collections of the Austrian National Library.
-
B.
Burgkunstadt
Burgkunstadt is a small Bavarian town in northern Germany known for its historic center and location in the Upper Franconia region.
-
C.
Ebernburg
Ebernburg is a historic castle in Rhineland-Palatinate, Germany, known as a stronghold of the early Reformation and the seat of knight Franz von Sickingen.
-
D.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
E.
Tecklenburg
Tecklenburg is a historic small town in North Rhine-Westphalia, Germany, known for its medieval architecture and open-air theater.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9155576b48190849f0c3e079a935f |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af3b91288190ab2df6103bfa5a91 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:48 p.m.