Triple

T1688757
Position Surface form Disambiguated ID Type / Status
Subject Visegrád Group E36502 entity
Predicate alternativeName P39 FINISHED
Object V4
V4 is a regional alliance of four Central European countries—Czech Republic, Hungary, Poland, and Slovakia—cooperating on political, economic, and security issues within the European context.
 E191365 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: V4 | Statement: [Visegrád Group, alternativeName, V4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: V4
Context triple: [Visegrád Group, alternativeName, V4]
  • A. V.
    V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
  • B. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • C. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • D. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • E. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • 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: V4
Triple: [Visegrád Group, alternativeName, V4]
Generated description
V4 is a regional alliance of four Central European countries—Czech Republic, Hungary, Poland, and Slovakia—cooperating on political, economic, and security issues within the European context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: V4
Target entity description: V4 is a regional alliance of four Central European countries—Czech Republic, Hungary, Poland, and Slovakia—cooperating on political, economic, and security issues within the European context.
  • A. V.
    V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
  • B. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • C. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • D. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • E. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6296655c8190835ec0d20f7460ca completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7992792081909af4312ae8a448a2 completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad7ab4aca48190936384bfa1cdeccf completed March 8, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69ad7b34c3248190bb93769e55df7189 completed March 8, 2026, 1:35 p.m.
Created at: March 4, 2026, 7:29 p.m.