Triple
T7402331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zákupy |
E170777
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Zákupy |
E170777
|
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: Zákupy | Statement: [Zákupy, officialName, Zákupy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zákupy Context triple: [Zákupy, officialName, 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.
Votroci
Votroci is the popular nickname of FC Hradec Králové, a Czech professional football club based in the city of Hradec Králové.
-
C.
Trhové Sviny
Trhové Sviny is a small historic town in the South Bohemian Region of the Czech Republic.
-
D.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
-
E.
Šeteniai
Šeteniai is a small village in central Lithuania best known as the birthplace of Nobel Prize–winning poet and writer Czesław Miłosz.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26ea27c8190a55e0e0314b463d8 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8343c1b308190b4ba681158b54aba |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:10 p.m.