Triple
T23072626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hrádeček |
E575236
|
entity |
| Predicate | hasNameInCzech |
P17790
|
FINISHED |
| Object | Hrádeček |
—
|
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: Hrádeček | Statement: [Hrádeček, hasNameInCzech, Hrádeček]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hrádeček Context triple: [Hrádeček, hasNameInCzech, Hrádeček]
-
A.
Hrádeček
chosen
Hrádeček is a small rural settlement in the Czech Republic best known as the longtime country residence and retreat of playwright and former president Václav Havel, where he also died.
-
B.
Hrádek
Hrádek is a historic fortified building in Kutná Hora, Czech Republic, best known today for housing the Czech Museum of Silver and exhibits on the town’s medieval mining heritage.
-
C.
Chrudimka
Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
-
D.
Sestřičky
Sestřičky is a Czech film best known for featuring actress Alena Mihulová in a prominent role.
-
E.
Hradisko
Hradisko is a small village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c60fa6c81908496f181c7d62033 |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.