Triple
T1004597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline of Ansbach |
E21680
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Ansbach |
E244572
|
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: Ansbach | Statement: [Caroline of Ansbach, birthPlace, Ansbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ansbach Context triple: [Caroline of Ansbach, birthPlace, Ansbach]
-
A.
Ansbach
chosen
Ansbach is a historic town in the German state of Bavaria, known as the former residence of the Margraves of Brandenburg-Ansbach.
-
B.
Ansbach-Bayreuth
Ansbach-Bayreuth was a small Franconian principality of the Holy Roman Empire, ruled by a branch of the Hohenzollern dynasty and later incorporated into the Kingdom of Prussia.
-
C.
Neustadt an der Aisch
Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
-
D.
Forchheim
Forchheim is a town in Upper Franconia, Bavaria, Germany, known for its historic old town and location along major regional rail and road routes.
-
E.
Annaberg-Buchholz
Annaberg-Buchholz is a historic mining town in eastern Germany known for its rich ore-mining heritage and traditional Christmas folk art.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4ff614081909478500ada1f5059 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1731ebe481908ffd1a670ae86286 |
completed | March 9, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:41 p.m.