Triple
T22517130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Coast–style IPA |
E556676
|
entity |
| Predicate | typicalColorSRM |
P84041
|
FINISHED |
| Object | 6–10 SRM |
—
|
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: 6–10 SRM | Statement: [West Coast–style IPA, typicalColorSRM, 6–10 SRM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorSRM Context triple: [West Coast–style IPA, typicalColorSRM, 6–10 SRM]
-
A.
colorScaleSRM
chosen
Indicates a relationship where an entity is assigned or characterized by a color scale defined in SRM (Standard Reference Method) units.
-
B.
typicalInfusionColor
Indicates the usual or characteristic color of a liquid infusion produced from a substance.
-
C.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
D.
colorGrade
Indicates the qualitative or categorical assessment of an entity’s color according to a defined grading scale.
-
E.
typicalOriginalGravity
Indicates the usual or characteristic original gravity value associated with a given beer style or recipe.
- 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.