Triple
T35117270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alzatea verticillata |
E1013475
|
entity |
| Predicate | hasOrganismPart |
P151442
|
FINISHED |
| Object | leaf |
—
|
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: leaf | Statement: [Alzatea verticillata, hasOrganismPart, leaf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrganismPart Context triple: [Alzatea verticillata, hasOrganismPart, leaf]
-
A.
organismPartOf
Indicates that one organism is a constituent or component of another organism or larger biological entity.
-
B.
hasOrganPart
chosen
Indicates that one entity includes another entity as a constituent organ or anatomical part.
-
C.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
D.
hasOrganSystem
Indicates that an entity possesses or is associated with a particular organ system as part of its biological structure or function.
-
E.
hasOrganStructure
Indicates that one entity possesses, contains, or is characterized by a particular organ structure.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
Created at: May 3, 2026, 4:01 p.m.