Triple
T3327387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariana of Austria |
E69947
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Wiener Neustadt |
E175023
|
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: Wiener Neustadt | Statement: [Mariana of Austria, birthPlace, Wiener Neustadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiener Neustadt Context triple: [Mariana of Austria, birthPlace, Wiener Neustadt]
-
A.
Wiener Neustadt
chosen
Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
-
B.
Mödling
Mödling is a historic town in Lower Austria, near Vienna, known for its picturesque old town, wine culture, and proximity to the Vienna Woods.
-
C.
Seibersdorf
Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
-
D.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
-
E.
Schwechat
Schwechat is an Austrian town just southeast of Vienna, best known as the site of Vienna International Airport and a major hub for industry and transport.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16f61248190bab10f4ac9e066f7 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bb819688190bb6198ac43f48449 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:12 p.m.