Triple
T9941842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opava |
E194100
|
entity |
| Predicate | officialLanguage |
P236
|
FINISHED |
| Object | Czech |
E73024
|
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: Czech | Statement: [Opava, officialLanguage, Czech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czech Context triple: [Opava, officialLanguage, Czech]
-
A.
Czech language
chosen
Czech language is a West Slavic language spoken primarily in the Czech Republic and known for its rich literary tradition and complex grammar.
-
B.
Czech Wikisource
Czech Wikisource is the Czech-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
-
C.
Czech American
A Czech American is a United States citizen or resident of Czech ancestry, reflecting cultural roots in the Czech Republic (formerly part of Czechoslovakia).
-
D.
Middle Czech
Middle Czech is a historical stage of the Czech language used roughly between the 15th and 17th centuries, marking the transition from Old Czech to Modern Czech.
-
E.
Czech–Slovak languages
The Czech–Slovak languages are a closely related group of Slavic languages, primarily including Czech and Slovak, spoken in Central Europe.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb610905c81909d669265c92021a5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22911a9ac81909caa2afb30e4860b |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:44 p.m.