Triple
T25386714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glico USA |
E631543
|
entity |
| Predicate | marketsProductsOf |
P126466
|
FINISHED |
| Object | Ezaki Glico |
—
|
NE NERFINISHED |
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: Ezaki Glico | Statement: [Glico USA, marketsProductsOf, Ezaki Glico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketsProductsOf Context triple: [Glico USA, marketsProductsOf, Ezaki Glico]
-
A.
marketedProducts
chosen
Indicates that an entity promotes, sells, or otherwise brings specific products to market.
-
B.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
-
C.
productsTraded
Indicates that one entity exchanges or deals specific goods or commodities with another entity.
-
D.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
-
E.
marketsThrough
Indicates that one entity promotes, sells, or distributes its products or services by using another entity as a marketing or sales channel.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 1:47 p.m.