Triple
T28676449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendel's experimental garden (historical) |
E725879
|
entity |
| Predicate | hasTypeOfTraitStudied |
P81934
|
FINISHED |
| Object | flower color |
—
|
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: flower color | Statement: [Mendel's experimental garden (historical), hasTypeOfTraitStudied, flower color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfTraitStudied Context triple: [Mendel's experimental garden (historical), hasTypeOfTraitStudied, flower color]
-
A.
studiesTrait
chosen
Indicates that one entity conducts research or examination focused on a particular trait or characteristic of another entity.
-
B.
numberOfTraitsStudied
Indicates the quantity of distinct traits or characteristics that are examined or analyzed in a given study or context.
-
C.
hasTypeOfResearch
Indicates that an entity is associated with a particular category or kind of research it involves or conducts.
-
D.
conditionStudied
Indicates that a particular condition (e.g., disease, state, or circumstance) is the focus of study or investigation in a given context.
-
E.
hasStudyModel
Indicates that an entity is associated with, or defined by, a particular study model used for analysis, simulation, or representation.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: April 28, 2026, 5:06 a.m.