Triple
T21388547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Maria Franziska of Saxe-Lauenburg |
E527575
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Zákupy |
—
|
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: Zákupy | Statement: [Anna Maria Franziska of Saxe-Lauenburg, deathPlace, Zákupy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zákupy Context triple: [Anna Maria Franziska of Saxe-Lauenburg, deathPlace, Zákupy]
-
A.
Zákupy
chosen
Zákupy is a small historic town in the Liberec Region of the Czech Republic, known for its Renaissance-Baroque chateau and its association with the Habsburg dynasty.
-
B.
Pazarlar
Pazarlar is a small town and district in western Turkey known for its rural character and location within Kütahya Province.
-
C.
Cine Bazar
Cine Bazar is a Japanese film production company known for its involvement in major genre films such as the 2016 kaiju movie "Shin Godzilla."
-
D.
Votroci
Votroci is the popular nickname of FC Hradec Králové, a Czech professional football club based in the city of Hradec Králové.
-
E.
Trhové Sviny
Trhové Sviny is a small historic town in the South Bohemian Region of the Czech Republic.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f6ce4c81909da915139610a2a7 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.