Triple
T12169307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway 7 transit corridor |
E289915
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Viva Purple |
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 Purple | Statement: [Highway 7 transit corridor, servedBy, Viva Purple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viva Purple Context triple: [Highway 7 transit corridor, servedBy, Viva Purple]
-
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.
Purple Violets
Purple Violets is a 2007 romantic comedy-drama film written and directed by Edward Burns that follows former college sweethearts who reconnect years later in New York City.
-
D.
Velvet
Velvet is a spy thriller comic book series written by Ed Brubaker that follows a veteran female secret agent drawn back into the world of espionage.
-
E.
Velvet
Velvet is a Spanish romantic drama television series set in a 1950s fashion house, focusing on the love story between a seamstress and the heir to the business.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a45568819090662cd3547c9253 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.