Triple
T4068963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Blue |
E86596
|
entity |
| Predicate | soldAs |
P17320
|
FINISHED |
| Object | Pacific Blue Select |
E86596
|
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: Pacific Blue Select | Statement: [Pacific Blue, soldAs, Pacific Blue Select]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pacific Blue Select Context triple: [Pacific Blue, soldAs, Pacific Blue Select]
-
A.
Pacific Blue
chosen
Pacific Blue is a Georgia-Pacific brand offering commercial paper towels, tissues, and related hygiene and cleaning products for businesses and institutions.
-
B.
Double Blue
Double Blue is a popular nickname for the Toronto Argonauts of the Canadian Football League, referencing the team’s traditional double-shaded blue color scheme.
-
C.
Cool Blue
Cool Blue is a popular blue raspberry-flavored sports drink variety in the Gatorade product line.
-
D.
The Blue and White
The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
-
E.
TrueBlue
TrueBlue is JetBlue Airways’ frequent flyer loyalty program that rewards members with points for flights and other eligible purchases, redeemable for travel and related benefits.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf8f33c8190a6afca1830f35485 |
completed | March 9, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b48fc481908547d51aae15e959 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.