Triple
T30641522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oryza coarctata |
E779991
|
entity |
| Predicate | leafAnatomy |
P169648
|
FINISHED |
| Object | C4-type Kranz anatomy |
—
|
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: C4-type Kranz anatomy | Statement: [Oryza coarctata, leafAnatomy, C4-type Kranz anatomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafAnatomy Context triple: [Oryza coarctata, leafAnatomy, C4-type Kranz anatomy]
-
A.
leafVenationType
Indicates the pattern or arrangement of veins within a leaf.
-
B.
leafArrangement
Indicates how leaves are positioned or organized on a plant’s stem or branches.
-
C.
typicalLeafCharacteristic
Indicates the usual or defining features of a leaf that characterize it under normal conditions.
-
D.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
-
E.
photosyntheticTissue
Indicates that an entity has tissue capable of performing photosynthesis, converting light energy into chemical energy.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a557e308190a55aa6958b6d012e |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:29 p.m.