Triple

T18132966
Position Surface form Disambiguated ID Type / Status
Subject Czech National Council E434059 entity
Predicate shortName P43 FINISHED
Object ČNR
ČNR is the abbreviation for the Czech National Council, the former legislative body of the Czech Republic within Czechoslovakia.
 E1308809 NE FINISHED

How this triple was built (4 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: ČNR | Statement: [Czech National Council, shortName, ČNR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ČNR
Context triple: [Czech National Council, shortName, ČNR]
  • A. CNR
    CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
  • B. CNR
    CNR is an acronym commonly used for the College of Natural Resources, an academic unit focused on environmental science, resource management, and related fields.
  • C. CCNR
    CCNR is an international organization that regulates and oversees safe, efficient, and environmentally sound navigation on the Rhine River among its member states.
  • D. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • E. CNCS
    CNCS is a French national museum dedicated to preserving and showcasing theatrical, opera, and ballet costumes and stage sets.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ČNR
Triple: [Czech National Council, shortName, ČNR]
Generated description
ČNR is the abbreviation for the Czech National Council, the former legislative body of the Czech Republic within Czechoslovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ČNR
Target entity description: ČNR is the abbreviation for the Czech National Council, the former legislative body of the Czech Republic within Czechoslovakia.
  • A. CNR
    CNR is an acronym commonly used for the College of Natural Resources, an academic unit focused on environmental science, resource management, and related fields.
  • B. CNR
    CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
  • C. CCNR
    CCNR is an international organization that regulates and oversees safe, efficient, and environmentally sound navigation on the Rhine River among its member states.
  • D. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • E. CNCS
    CNCS is the abbreviation for the Corporation for National and Community Service, the U.S. federal agency that supports national service programs like AmeriCorps and Senior Corps.
  • F. None of above. chosen

Provenance (5 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de04321c81909c0b9d47757720fd completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0385489c3c8190b7e20d6c8c75ea16 completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a038acaf8f48190b88562c0a1df9109 completed May 12, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a038b4132bc8190992cae1400894fef completed May 12, 2026, 8:19 p.m.
Created at: April 10, 2026, 10:29 a.m.