Triple
T3823350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yankee Candle |
E88626
|
entity |
| Predicate | offersProductLine |
P28338
|
FINISHED |
| Object | holiday fragrances |
—
|
LITERAL 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: holiday fragrances | Statement: [Yankee Candle, offersProductLine, holiday fragrances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersProductLine Context triple: [Yankee Candle, offersProductLine, holiday fragrances]
-
A.
offersProduct
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
B.
offersProductCategory
chosen
Indicates that a provider or seller makes products belonging to a specific product category available.
-
C.
productLineStart
Indicates the point in time or position at which a particular product line begins or is first introduced.
-
D.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
E.
offersServiceType
Indicates that one entity provides or makes available a specific type or category of service to another entity or the public.
- F. None of above.
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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.