Triple
T8466015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viva Rapid Transit |
E200161
|
entity |
| Predicate | hasRoute |
P4374
|
FINISHED |
| Object | Viva Orange |
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 Orange | Statement: [Viva Rapid Transit, hasRoute, Viva Orange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viva Orange Context triple: [Viva Rapid Transit, hasRoute, Viva Orange]
-
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.
The Orange and Blue
"The Orange and Blue" is the traditional fight song of the University of Florida, closely associated with the Florida Gators and performed at their athletic events.
-
D.
City of Sunshine
City of Sunshine is the popular nickname of Szeged, a major city in southern Hungary renowned for its exceptionally sunny climate.
-
E.
Land of Sunshine
Land of Sunshine is a popular nickname for Okayama Prefecture in Japan, known for its mild climate and high number of sunny days.
- 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_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_69ce4dda5230819087ab2509eb958fc2 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:11 p.m.