Triple
T10263601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camel |
E240660
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object | Camel Filters |
E240652
|
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: Camel Filters | Statement: [Camel, variant, Camel Filters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camel Filters Context triple: [Camel, variant, Camel Filters]
-
A.
Camel Filters
chosen
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.
-
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 Turkish Gold
Camel Turkish Gold is a premium variety of Camel cigarettes known for its smooth, mellow flavor profile and distinctive packaging.
-
D.
Camel Lights
Camel Lights is a lighter, lower-tar and nicotine variant of the Camel brand of cigarettes, marketed as a milder smoking option.
-
E.
Camel cigarettes
Camel cigarettes is a long-established American cigarette brand known for its distinctive camel logo and prominent role in 20th-century tobacco marketing.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25e68fc8190b46699d2266c0505 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f81dd481909022efde8fc46e68 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:33 a.m.