Triple
T35945837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Backhousia citriodora |
E1039583
|
entity |
| Predicate | citralContent |
P95361
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Backhousia citriodora, citralContent, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citralContent Context triple: [Backhousia citriodora, citralContent, high]
-
A.
citrusComponent
Indicates that one entity is a component, ingredient, or constituent part derived from a citrus source in relation to another entity.
-
B.
aromaticOilsPresent
chosen
Indicates that aromatic oils are present in or associated with the specified entity or context.
-
C.
commonScents
Indicates that two or more entities share the same or very similar smells or fragrances.
-
D.
containsCitricAcid
Indicates that one entity includes citric acid as a component or ingredient within it.
-
E.
citrateRole
Indicates that an entity functions in a specific role or capacity related to citrate (e.g., involving its production, use, transport, or regulation).
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.