Triple
T6107668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diet Pepsi |
E136154
|
entity |
| Predicate | hasCarbonatedWater |
P68193
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Diet Pepsi, hasCarbonatedWater, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarbonatedWater Context triple: [Diet Pepsi, hasCarbonatedWater, true]
-
A.
isSoftDrinkVariantOf
Indicates that one soft drink is a specific version, flavor, or formulation derived from or based on another soft drink.
-
B.
mineralWaterCommercialisedBy
Indicates that a specific mineral water product is marketed, distributed, or sold by a particular commercial entity or company.
-
C.
hasCaffeineContent
Indicates that one entity (typically a beverage or substance) possesses a specified amount or presence of caffeine.
-
D.
isPackagedBeverage
Indicates that an item is a beverage that has been contained or sealed within some form of packaging for distribution or consumption.
-
E.
hasCaffeinatedOption
Indicates that something offers or includes at least one option that contains caffeine.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b81fad081909b622cafc6d51249 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:13 p.m.