Triple
T14755325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neubau |
E346714
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | federal state of Vienna |
E279838
|
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: federal state of Vienna | Statement: [Neubau, partOf, federal state of Vienna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: federal state of Vienna Context triple: [Neubau, partOf, federal state of Vienna]
-
A.
Vienna (state)
chosen
Vienna (state) is Austria’s smallest federal state and its capital city, serving as the country’s political, cultural, and economic center.
-
B.
Municipality of Vienna
The Municipality of Vienna is the city government of Austria’s capital, responsible for administering the city’s districts and providing local public services.
-
C.
Austria Wien
Austria Wien is a major Viennese football club and one of Austria’s most successful and historic teams.
-
D.
State of Salzburg
The State of Salzburg is a federal state in western Austria known for its Alpine landscapes, historic baroque capital city of Salzburg, and rich musical heritage associated with Mozart and major cultural festivals.
-
E.
Vienna
Vienna is a small town in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cea5d348190a84970da131292ee |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.