Triple
T22517448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABC Extra Stout |
E556683
|
entity |
| Predicate | isBrandForProductType |
P133890
|
FINISHED |
| Object | stout beer |
—
|
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: stout beer | Statement: [ABC Extra Stout, isBrandForProductType, stout beer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBrandForProductType Context triple: [ABC Extra Stout, isBrandForProductType, stout beer]
-
A.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
B.
isBrand
chosen
Indicates that one entity functions as the commercial brand or label associated with another entity.
-
C.
componentTypeAssociatedWithBrand
Indicates that a specific component type is linked or affiliated with a particular brand.
-
D.
supportsBrand
Indicates that one entity endorses, promotes, or is compatible with a particular brand.
-
E.
containsComponentBrand
Indicates that an entity includes, as part of its composition or structure, a component produced or branded by a specified brand.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2df59c81909c4ae2f20f1cbb32 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.