Triple
T357289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupinus subcarnosus |
E7571
|
entity |
| Predicate | belongsToGroup |
P12263
|
FINISHED |
| Object | bluebonnets |
—
|
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: bluebonnets | Statement: [Lupinus subcarnosus, belongsToGroup, bluebonnets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToGroup Context triple: [Lupinus subcarnosus, belongsToGroup, bluebonnets]
-
A.
hasUserGroup
Indicates that a user is associated with, belongs to, or is a member of a specific user group.
-
B.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
C.
hasComponentGroup
Indicates that an entity includes or is associated with a specific group of components treated as a single unit.
-
D.
hasSupporterGroup
Indicates that an entity is associated with a group of supporters that backs, promotes, or advocates for it.
-
E.
hasMembershipBase
Indicates that an entity possesses or is associated with a foundational group or set of members that form its membership base.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebaf0c9881909313f98818e7fa58 |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e959ce948190a201c017eecb7c95 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2c44408190946267525c88e811 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.