Triple
T31601570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quillaja family |
E806360
|
entity |
| Predicate | fruitTypeOfMembers |
P15977
|
FINISHED |
| Object | capsules or follicles |
—
|
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: capsules or follicles | Statement: [Quillaja family, fruitTypeOfMembers, capsules or follicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitTypeOfMembers Context triple: [Quillaja family, fruitTypeOfMembers, capsules or follicles]
-
A.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
B.
hasFruitType
chosen
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
C.
fruitCommonName
Indicates the commonly used everyday name by which a fruit is known.
-
D.
baseFruit
Indicates that one entity serves as the primary or foundational fruit associated with another entity.
-
E.
membersDiet
Indicates the type of diet that the members of a group, organization, or category typically follow or are characterized by.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a86aecd48190b0f9e9fcb4cab449 |
completed | May 3, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:33 p.m.