Triple

T8466014
Position Surface form Disambiguated ID Type / Status
Subject Viva Rapid Transit E200161 entity
Predicate hasRoute P4374 FINISHED
Object Viva Green
Viva Green is a bus rapid transit route in York Region, Ontario, operating as part of the Viva Rapid Transit network.
 E736411 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 Rapid Transit, hasRoute, Viva Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viva Green
Context triple: [Viva Rapid Transit, hasRoute, Viva Green]
  • A. Viva Yellow
    Viva Yellow is a bus rapid transit line in York Region, Ontario, that operates as part of the region’s Viva BRT network.
  • B. Big Green
    Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
  • C. Big Green
    Big Green is a nonprofit organization focused on building learning gardens and promoting healthy eating and food literacy in schools and communities.
  • D. Big Green
    Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
  • E. Los Verdes
    Los Verdes is an independent supporters’ group known for its passionate, vibrant backing of Major League Soccer club Austin FC.
  • 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 Rapid Transit, hasRoute, Viva Green]
Generated description
Viva Green is a bus rapid transit route in York Region, Ontario, operating as part of the Viva Rapid Transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viva Green
Target entity description: Viva Green is a bus rapid transit route in York Region, Ontario, operating as part of the Viva Rapid Transit network.
  • A. Viva Yellow
    Viva Yellow is a bus rapid transit line in York Region, Ontario, that operates as part of the region’s Viva BRT network.
  • B. Big Green
    Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
  • C. Big Green
    Big Green is a nonprofit organization focused on building learning gardens and promoting healthy eating and food literacy in schools and communities.
  • D. Big Green
    Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
  • E. Los Verdes
    Los Verdes is an independent supporters’ group known for its passionate, vibrant backing of Major League Soccer club Austin FC.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d17ec8819093becdaec750aff5 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39e0d7788190add03271c940e1ff completed April 2, 2026, 9:41 a.m.
NEDg Description generation batch_69ce3adb954c8190a26c7e7bbed6bbe7 completed April 2, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ce3cafd4248190982d537bdcb92747 completed April 2, 2026, 9:53 a.m.
Created at: March 30, 2026, 6:11 p.m.