Triple
T14909009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quillaja saponaria |
E371209
|
entity |
| Predicate | barkUsedBy |
P28634
|
FINISHED |
| Object | pharmaceutical industry |
—
|
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: pharmaceutical industry | Statement: [Quillaja saponaria, barkUsedBy, pharmaceutical industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barkUsedBy Context triple: [Quillaja saponaria, barkUsedBy, pharmaceutical industry]
-
A.
barkUsedFor
chosen
Indicates that the bark of something is utilized for a particular purpose or function.
-
B.
barkIs
Indicates that an entity produces the characteristic sound associated with barking.
-
C.
barkProperty
Indicates that an entity possesses a characteristic or quality related to bark (such as texture, color, or pattern).
-
D.
usesCaninesFor
Indicates a relationship where an entity employs or relies on its canine teeth for a particular function or activity.
-
E.
barkHarvestingEffect
Indicates the impact that harvesting bark has on the condition, health, or characteristics of the affected 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:25 a.m.