Triple

T2129223
Position Surface form Disambiguated ID Type / Status
Subject Visa E46497 entity
Predicate tickerSymbol P1447 FINISHED
Object V
V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
 E237822 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: V | Statement: [Visa, tickerSymbol, V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: V
Context triple: [Visa, tickerSymbol, V]
  • 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. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • C. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • D. Vo
    Vo is a Vietnamese surname most famously associated with General Vo Nguyen Giap, a key military leader in Vietnam's 20th-century history.
  • E. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • 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: V
Triple: [Visa, tickerSymbol, V]
Generated description
V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: V
Target entity description: V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • 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. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • C. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • D. Vo
    Vo is a Vietnamese surname most famously associated with General Vo Nguyen Giap, a key military leader in Vietnam's 20th-century history.
  • E. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb7659f48190871cb27faf47e18a completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a36398819081df18cc18bc3456 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae528634608190bf10e3abf5a2c2d9 completed March 9, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae536431bc8190b9f293d74046cb27 completed March 9, 2026, 4:58 a.m.
Created at: March 4, 2026, 7:44 p.m.