Triple

T9127184
Position Surface form Disambiguated ID Type / Status
Subject Člověk v tísni E218994 entity
Predicate shortName P43 FINISHED
Object ČvT
ČvT is the Czech abbreviation for "Člověk v tísni," a prominent humanitarian and human rights organization based in the Czech Republic.
E779744 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: ČvT | Statement: [Člověk v tísni, shortName, ČvT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ČvT
Context triple: [Člověk v tísni, shortName, ČvT]
  • A. CLVT
    CLVT is the stock ticker symbol for Clarivate Analytics, a global company that provides data, analytics, and insights to support innovation and research across various industries.
  • B. CvA
    CvA is the abbreviation for the Conservatorium van Amsterdam, a major music conservatory in the Netherlands known for its comprehensive music education and performance programs.
  • C. VCVT
    VCVT is the ICAO airport code assigned to Trincomalee Airport in Sri Lanka.
  • D. VUT
    VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
  • E. TCSVT
    TCSVT is a leading IEEE journal that publishes research on circuits, systems, and technologies for video and multimedia processing.
  • 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: ČvT
Triple: [Člověk v tísni, shortName, ČvT]
Generated description
ČvT is the Czech abbreviation for "Člověk v tísni," a prominent humanitarian and human rights organization based in the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ČvT
Target entity description: ČvT is the Czech abbreviation for "Člověk v tísni," a prominent humanitarian and human rights organization based in the Czech Republic.
  • A. CLVT
    CLVT is the stock ticker symbol for Clarivate Analytics, a global company that provides data, analytics, and insights to support innovation and research across various industries.
  • B. CvA
    CvA is the abbreviation for the Conservatorium van Amsterdam, a major music conservatory in the Netherlands known for its comprehensive music education and performance programs.
  • C. VCVT
    VCVT is the ICAO airport code assigned to Trincomalee Airport in Sri Lanka.
  • D. VUT
    VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
  • E. TCSVT
    TCSVT is a leading IEEE journal that publishes research on circuits, systems, and technologies for video and multimedia processing.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8c93d3c8190b003b2b1af2003b2 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a1042c8190a31c76638a95a2cf completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d0318ef52c8190bfa0bef6a8d41daa completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d03571c4648190bd546152c61c55a5 completed April 3, 2026, 9:47 p.m.
Created at: March 30, 2026, 7:18 p.m.