Triple
T3428222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misfit |
E72275
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Misfit Vapor |
E72275
|
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: Misfit Vapor | Statement: [Misfit, product, Misfit Vapor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misfit Vapor Context triple: [Misfit, product, Misfit Vapor]
-
A.
IQOS
IQOS is a heated tobacco product developed by Philip Morris International that offers an alternative to traditional cigarette smoking by warming tobacco instead of burning it.
-
B.
NJOY
NJOY is an American e-cigarette and vaping brand known for producing electronic nicotine delivery systems as an alternative to traditional cigarettes.
-
C.
Misfit
chosen
Misfit is a wearable technology and fitness-tracking brand known for its minimalist activity trackers and smartwatches.
-
D.
Juul
Juul is a popular but controversial electronic cigarette brand known for its sleek USB-like design and significant role in the rise of youth vaping.
-
E.
Aspire Zone
Aspire Zone is a major sports complex and development area in Doha, Qatar, known for its world-class stadiums, training facilities, and sports science centers.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.