Triple
T7855352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franziska Matzelsberger |
E182160
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Ranshofen |
E714838
|
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: Ranshofen | Statement: [Franziska Matzelsberger, residence, Ranshofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranshofen Context triple: [Franziska Matzelsberger, residence, Ranshofen]
-
A.
Ranshofen
chosen
Ranshofen is a district of the town of Braunau am Inn in Upper Austria, known historically for its industrial facilities and its location near the German border.
-
B.
Ottobrunn
Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
-
C.
Riehen
Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
-
D.
Vaterstetten
Vaterstetten is a municipality in the district of Ebersberg near Munich in Bavaria, Germany, known as a residential suburb with strong transport links to the Bavarian capital.
-
E.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a74592c8190b42f298e3e33617b |
completed | March 31, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccec5f00b48190b35f7cab67e7e5f9 |
completed | April 1, 2026, 9:58 a.m. |
Created at: March 30, 2026, 4:52 p.m.