Triple
T22918636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirinda |
E568796
|
entity |
| Predicate | hasManufacturerType |
P21048
|
FINISHED |
| Object | multinational corporation |
—
|
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: multinational corporation | Statement: [Mirinda, hasManufacturerType, multinational corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManufacturerType Context triple: [Mirinda, hasManufacturerType, multinational corporation]
-
A.
manufacturerType
chosen
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
B.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
C.
hasTypeOfVendor
Indicates that an entity is associated with or classified under a specific category or type of vendor.
-
D.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d316188190901d9356c07110e3 |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.