Triple
T725577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbeyaceae |
E14717
|
entity |
| Predicate | familySize |
P19346
|
FINISHED |
| Object | very small |
—
|
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: very small | Statement: [Barbeyaceae, familySize, very small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familySize Context triple: [Barbeyaceae, familySize, very small]
-
A.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
B.
family
Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
-
C.
familyRule
Indicates a rule, norm, or guideline that governs relationships or behavior within a family context.
-
D.
containsFamily
Indicates that one entity includes or encompasses members of a particular family group within it.
-
E.
familyColor
Indicates that two entities share the same family-associated color or that one entity has a color characteristic of its family group.
- F. None of above. chosen
Provenance (4 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f839608190878a60eb7a044ed9 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a64957ec81909fe2e2dbffd80ed3 |
completed | March 1, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:37 p.m.