Triple

T2806155
Position Surface form Disambiguated ID Type / Status
Subject V Corps (United States) E54057 entity
Predicate hasRomanNumeralDesignation P7356 FINISHED
Object V E237822 NE FINISHED

How this triple was built (3 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: [V Corps (United States), hasRomanNumeralDesignation, V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: V
Context triple: [V Corps (United States), hasRomanNumeralDesignation, V]
  • A. V chosen
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • B. 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."
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • E. Vo
    Vo is a Vietnamese surname most famously associated with General Vo Nguyen Giap, a key military leader in Vietnam's 20th-century history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRomanNumeralDesignation
Context triple: [V Corps (United States), hasRomanNumeralDesignation, V]
  • A. hasRomanName
    Indicates that an entity is associated with or known by a name derived from or used in ancient Rome.
  • B. usesRomanNumerals chosen
    Indicates that something represents numbers or sequences using the Roman numeral system rather than standard Arabic digits.
  • C. hasLetterDesignation
    Indicates that an entity is assigned or associated with a specific letter-based designation or code.
  • D. hasRomanEquivalent
    Indicates that one entity corresponds to or is equivalent to another entity within the context of Roman culture, naming, or classification.
  • E. hasDesignation
    Indicates that an entity holds or is assigned a specific title, label, or formal designation.
  • F. None of above.

Provenance (4 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc676d03081908986026dfe5fc852 completed March 10, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:59 p.m.