Triple
T5622372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viva bus rapid transit |
E147637
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Viva Blue |
E196947
|
NE FINISHED |
How this triple was built (2 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 Blue | Statement: [Viva bus rapid transit, hasLine, Viva Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viva Blue Context triple: [Viva bus rapid transit, hasLine, Viva Blue]
-
A.
Viva
chosen
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
-
B.
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.
-
C.
Red, Hot and Blue
Red, Hot and Blue is a 1936 Broadway musical comedy with music and lyrics by Cole Porter, known for its witty songs and star-studded original cast.
-
D.
Into the Blue
Into the Blue is a 2005 action-thriller film about a group of divers who discover a sunken plane full of drugs, starring Paul Walker and Jessica Alba.
-
E.
Under a Blanket of Blue
"Under a Blanket of Blue" is a jazz standard best known for its smooth, romantic rendition by Ella Fitzgerald and Louis Armstrong.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 22, 2026, 3:40 p.m.