Triple
T4914890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pace |
E110322
|
entity |
| Predicate | bestKnownProduct |
P7216
|
FINISHED |
| Object | chunky salsa |
—
|
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: chunky salsa | Statement: [Pace, bestKnownProduct, chunky salsa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestKnownProduct Context triple: [Pace, bestKnownProduct, chunky salsa]
-
A.
bestOf
Indicates that one entity is the top-ranked or most outstanding member within a specified group, set, or collection.
-
B.
primaryProduct
chosen
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
C.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
-
D.
bestKnownStructure
Indicates that the related entity is the most prominent or widely recognized structure associated with the subject.
-
E.
isTypicallySoldAs
Indicates that one entity is commonly offered for sale in the form, packaging, or configuration represented by another entity.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9f12b48190b3cb5378958d03cd |
completed | March 20, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.