Triple
T5622374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viva bus rapid transit |
E147637
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Viva Pink |
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 Pink | Statement: [Viva bus rapid transit, hasLine, Viva Pink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viva Pink Context triple: [Viva bus rapid transit, hasLine, Viva Pink]
-
A.
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.
-
B.
Viva
chosen
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
-
C.
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.
-
D.
Surrender the Pink
Surrender the Pink is a semi-autobiographical novel by Carrie Fisher that explores love, fame, and emotional turmoil in Hollywood.
-
E.
Hot Pink
"Hot Pink" is Doja Cat's breakthrough second studio album, blending pop, R&B, and hip hop and spawning hits like "Say So" that propelled her to mainstream fame.
- 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_69c07da656f8819083fa9fc63f2ec4a5 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:40 p.m.