Triple
T21979281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberta Highway 16 |
E542793
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Vermilion |
—
|
NE NERFINISHED |
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: Vermilion | Statement: [Alberta Highway 16, passesThrough, Vermilion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vermilion Context triple: [Alberta Highway 16, passesThrough, Vermilion]
-
A.
Vermiglio
Vermiglio is a mountainous municipality in the Trentino region of northern Italy, known for its Alpine landscapes and proximity to major ski and hiking areas.
-
B.
Vermillion
chosen
Vermillion is a small city in southeastern South Dakota best known as the home of the University of South Dakota and its athletic teams, the South Dakota Coyotes.
-
C.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
D.
Carmine
Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
-
E.
Crimson
Crimson is a superheroine character known as the daughter of the vigilante Backlash in comic book lore.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248bdd88819098bfeca550608f14 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.