Triple
T17077074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simply Orange Pulp Free |
E414375
|
entity |
| Predicate | intendedConsumer |
P82339
|
FINISHED |
| Object | general population |
—
|
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: general population | Statement: [Simply Orange Pulp Free, intendedConsumer, general population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedConsumer Context triple: [Simply Orange Pulp Free, intendedConsumer, general population]
-
A.
isConsumerOriented
Indicates that something is designed, targeted, or tailored primarily to meet the needs, preferences, or interests of consumers.
-
B.
intendedReceiver
Indicates that one entity is the target or designated recipient of something (such as a message, item, or action) originating from another entity.
-
C.
intendedClients
chosen
Indicates the entities that a product, service, or action is specifically designed or targeted to serve as clients.
-
D.
intendedTargets
Indicates that an action, message, or object is specifically directed toward or meant to affect particular target entities.
-
E.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc559388190b685504cca6ed62b |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.