Triple

T2638044
Position Surface form Disambiguated ID Type / Status
Subject Victoria line E62794 entity
Predicate lineCode P508 FINISHED
Object VI
VI is the line code used to identify the Victoria line, a deep-level London Underground service running north–south across central London.
 E284229 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: VI | Statement: [Victoria line, lineCode, VI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VI
Context triple: [Victoria line, lineCode, VI]
  • A. VI
    VI is the ISO 3166-2 code for the United States Virgin Islands, a Caribbean territory of the United States.
  • B. VII
    VII is the debut studio album by American singer Teyana Taylor, showcasing her blend of R&B, soul, and hip-hop influences.
  • C. 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."
  • D. IV
    IV is the Roman numeral representing the number four, commonly used in outlines, legal documents, and traditional numbering systems.
  • E. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • 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: VI
Triple: [Victoria line, lineCode, VI]
Generated description
VI is the line code used to identify the Victoria line, a deep-level London Underground service running north–south across central London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VI
Target entity description: VI is the line code used to identify the Victoria line, a deep-level London Underground service running north–south across central London.
  • A. VI
    VI is the ISO 3166-2 code for the United States Virgin Islands, a Caribbean territory of the United States.
  • B. VII
    VII is the debut studio album by American singer Teyana Taylor, showcasing her blend of R&B, soul, and hip-hop influences.
  • C. 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."
  • D. IV
    IV is the Roman numeral representing the number four, commonly used in outlines, legal documents, and traditional numbering systems.
  • E. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8e470ac8190bd0d6de6805afcd0 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b628748190bdbb23f1d85bc3fd completed March 10, 2026, 3:32 a.m.
NEDg Description generation batch_69af91c6de008190ad8fb3a3c06472cb completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af9253953c8190a8e18c92d66263cc completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:53 p.m.