Triple
T9953843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lard Lad Donuts |
E195395
|
entity |
| Predicate | soldInRealWorld |
P91343
|
FINISHED |
| Object | The Big Pink donut |
—
|
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: The Big Pink donut | Statement: [Lard Lad Donuts, soldInRealWorld, The Big Pink donut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldInRealWorld Context triple: [Lard Lad Donuts, soldInRealWorld, The Big Pink donut]
-
A.
isSoldIn
Indicates that a product or item is available for purchase within a specified location, market, or sales channel.
-
B.
soldAt
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
-
C.
soldInCountry
Indicates that a product or item is offered for sale or has been sold within a specified country.
-
D.
soldWith
Indicates that one item is sold together with another item as part of the same transaction or offer.
-
E.
inspiredRealWorldProduct
Indicates that one entity served as the creative or conceptual basis that led to the development of a real-world product represented by the other entity.
- F. None of above. chosen
Provenance (4 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb694b95481909d049302818e7137 |
completed | April 2, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:46 p.m.