Triple

T10738737
Position Surface form Disambiguated ID Type / Status
Subject Viva E253262 entity
Predicate hasPart P35 FINISHED
Object Viva Plus
Viva Plus is a component or extended version of the Viva platform, offering additional features or services beyond the core Viva product.
E883205 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: Viva Plus | Statement: [Viva, hasPart, Viva Plus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viva Plus
Context triple: [Viva, hasPart, Viva Plus]
  • A. VIV
    VIV is the ICAO airline designator assigned to Viva Aerobus, a Mexican low-cost carrier.
  • B. Viva Green
    Viva Green is a bus rapid transit route in York Region, Ontario, operating as part of the Viva Rapid Transit network.
  • C. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • D. Viva
    Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
  • E. Movia
    Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
  • 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: Viva Plus
Triple: [Viva, hasPart, Viva Plus]
Generated description
Viva Plus is a component or extended version of the Viva platform, offering additional features or services beyond the core Viva product.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Viva Plus
Target entity description: Viva Plus is a component or extended version of the Viva platform, offering additional features or services beyond the core Viva product.
  • A. VIV
    VIV is the ICAO airline designator assigned to Viva Aerobus, a Mexican low-cost carrier.
  • B. Viva Green
    Viva Green is a bus rapid transit route in York Region, Ontario, operating as part of the Viva Rapid Transit network.
  • C. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • D. Viva
    Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
  • E. Movia
    Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22ed6edc8190beb76bd2971c7cec completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de25d25474819081402b75ef7492f6 completed April 14, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69de2808244c8190bdb2d4d49f30e0d7 completed April 14, 2026, 11:42 a.m.
Created at: April 8, 2026, 9:14 p.m.