Triple
T19366111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnes of Rochlitz |
E484404
|
entity |
| Predicate | regionOfActivity |
P82
|
FINISHED |
| Object | Meissen |
—
|
NE NERFINISHED |
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: Meissen | Statement: [Agnes of Rochlitz, regionOfActivity, Meissen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meissen Context triple: [Agnes of Rochlitz, regionOfActivity, Meissen]
-
A.
Meissen
Meissen is a historic town in eastern Germany renowned for its medieval architecture and as the birthplace of European hard-paste porcelain.
-
B.
Oda of Meissen
Oda of Meissen was a German noblewoman from the Margraviate of Meissen who became a Polish queen consort through her marriage to Bolesław I the Brave.
-
C.
Glashütten
Glashütten is a small municipality in the Hochtaunus district of Hesse, Germany, known for its scenic location in the Taunus mountains and its residential, forested character.
-
D.
Meißen
chosen
Meißen is a historic town in the German state of Saxony, renowned for its porcelain manufacture and well-preserved medieval architecture along the Elbe River.
-
E.
Glashütte
Glashütte is a renowned German town in Saxony famous worldwide as a historic center of high-end mechanical watchmaking.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619ac26d4819095836d737b629cf1 |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.