Triple
T17077081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simply Orange Medium Pulp |
E414376
|
entity |
| Predicate | pulpLevel |
P125770
|
FINISHED |
| Object | medium pulp |
—
|
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: medium pulp | Statement: [Simply Orange Medium Pulp, pulpLevel, medium pulp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pulpLevel Context triple: [Simply Orange Medium Pulp, pulpLevel, medium pulp]
-
A.
parchmentColor
Indicates that one entity has the color characteristic of parchment in relation to another entity.
-
B.
yieldLevel
Indicates the degree or amount of output or production resulting from a process, resource, or entity.
-
C.
nutsLevel
Indicates the degree or intensity to which something or someone is considered crazy, eccentric, or wildly unconventional.
-
D.
hasRatingLevel
Indicates that an entity is associated with a particular rating level or score category.
-
E.
exportLevel
Indicates the degree or extent to which something is produced in one place and sent out or made available to other places or markets.
- 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_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. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.