Triple
T7113362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L&M |
E165756
|
entity |
| Predicate | hasProductVariant |
P455
|
FINISHED |
| Object | L&M Filters |
E165756
|
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: L&M Filters | Statement: [L&M, hasProductVariant, L&M Filters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L&M Filters Context triple: [L&M, hasProductVariant, L&M Filters]
-
A.
Filtrete
Filtrete is a 3M brand known for its home air and water filtration products, including HVAC filters, air purifiers, and water filters.
-
B.
NAPA Gold Filters
NAPA Gold Filters is a premium line of automotive and heavy-duty filters known for high filtration efficiency and durability, sold under the NAPA Auto Parts brand.
-
C.
Camel Filters
Camel Filters is a filtered cigarette line produced under the Camel brand, known for its distinctive blend and long-standing presence in the tobacco market.
-
D.
Diversey
Diversey is a Chicago Transit Authority 'L' station on the Brown Line located in the Lincoln Park/Lakeview area of Chicago.
-
E.
L&M
chosen
L&M is an international cigarette brand owned by Philip Morris, known for its mid-priced positioning in the global tobacco market.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5ef813c8190bec0ab0cbae430e5 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cbc35d48190974e207eb98dcbe3 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:43 p.m.