Triple
T23278408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quassia |
E588785
|
entity |
| Predicate | bitterCompoundsLocatedIn |
P95362
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [Quassia, bitterCompoundsLocatedIn, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bitterCompoundsLocatedIn Context triple: [Quassia, bitterCompoundsLocatedIn, wood]
-
A.
bitterVarietyContains
Indicates that a bitter variety (such as a bitter type of a product or substance) includes or has within it a specified component or ingredient.
-
B.
bitterantType
Indicates the specific kind or category of bitterant used or associated with an entity.
-
C.
hasBitternessLevel
Indicates that an entity is associated with a specific degree or intensity of bitterness.
-
D.
containsAlkaloids
chosen
Indicates that a substance, organism, or material has alkaloid compounds present within it.
-
E.
leafAromaCompound
Indicates that a particular aroma compound is present in, derived from, or characteristically associated with a plant’s leaves.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957991108190ac82fa6dd355f722 |
completed | April 29, 2026, 5:22 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:49 p.m.