Triple

T5622375
Position Surface form Disambiguated ID Type / Status
Subject Viva bus rapid transit E147637 entity
Predicate hasLine P35 FINISHED
Object Viva Green
Viva Green is a route in the Viva bus rapid transit system serving York Region in Ontario, Canada.
 E196947 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 Green | Statement: [Viva bus rapid transit, hasLine, Viva Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viva Green
Context triple: [Viva bus rapid transit, hasLine, Viva Green]
  • A. Big Green
    Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
  • B. Big Green
    Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
  • 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. The Green One
    The Green One is an epithet of the ancient Egyptian cobra goddess Wadjet, who served as a protective deity and symbol of royal authority, especially associated with Lower Egypt and the pharaoh.
  • 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 Green
Triple: [Viva bus rapid transit, hasLine, Viva Green]
Generated description
Viva Green is a route in the Viva bus rapid transit system serving York Region in Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viva Green
Target entity description: Viva Green is a route in the Viva bus rapid transit system serving York Region in Ontario, Canada.
  • A. Big Green
    Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
  • B. Big Green
    Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
  • C. Viva chosen
    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. The Green One
    The Green One is an epithet of the ancient Egyptian cobra goddess Wadjet, who served as a protective deity and symbol of royal authority, especially associated with Lower Egypt and the pharaoh.
  • F. None of above.

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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022133eec819086acb04864dde5ee completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d5da9cc819097281dd6aa405e62 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04ed9159481909adeb9228ce59d0e completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7b889c81909db7cb4baf40ed80 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:40 p.m.