Triple
T16334192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Welwitsch |
E396633
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Maria Saal |
E832494
|
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: Maria Saal | Statement: [Friedrich Welwitsch, placeOfBirth, Maria Saal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Saal Context triple: [Friedrich Welwitsch, placeOfBirth, Maria Saal]
-
A.
Maria Saal
chosen
Maria Saal is a historic market town in the Austrian state of Carinthia, known for its prominent pilgrimage church and archaeological heritage from the Roman city of Virunum.
-
B.
Maria Kliegel
Maria Kliegel is a renowned German cellist celebrated for her virtuosic performances, extensive recordings, and influential teaching career.
-
C.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
D.
Luisa Haag
Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
-
E.
Paula Lutze
Paula Lutze was the wife of Viktor Lutze, a high-ranking Nazi official and head of the Sturmabteilung (SA) in Nazi Germany.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e1da1081909bec6e77e6109dce |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dabc89481908005f5b2060abded |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.