Triple
T31601540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quillaja family |
E806360
|
entity |
| Predicate | isSmallFamilyOf |
P133425
|
FINISHED |
| Object | flowering plants |
—
|
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: flowering plants | Statement: [Quillaja family, isSmallFamilyOf, flowering plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallFamilyOf Context triple: [Quillaja family, isSmallFamilyOf, flowering plants]
-
A.
isSmallFamily
chosen
Indicates that the subject is a family unit consisting of a relatively small number of members.
-
B.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
C.
isSmallForce
Indicates that the force involved has a relatively low magnitude compared to typical or relevant reference forces.
-
D.
isaFamily
Indicates that one entity is a family member or belongs to the same family group as another entity.
-
E.
containsFamily
Indicates that one entity includes or encompasses members of a particular family group within it.
- 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.