Triple
T33239158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christensenia |
E850914
|
entity |
| Predicate | chlorophyllContent |
P59850
|
FINISHED |
| Object | contains chlorophyll a |
—
|
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: contains chlorophyll a | Statement: [Christensenia, chlorophyllContent, contains chlorophyll a]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chlorophyllContent Context triple: [Christensenia, chlorophyllContent, contains chlorophyll a]
-
A.
hasChlorophyll
chosen
Indicates that one entity possesses or contains chlorophyll, typically as a component or characteristic of its biological makeup.
-
B.
chlorophyllType
Indicates the specific kind or category of chlorophyll associated with or present in an entity.
-
C.
leafColor
Indicates the color or coloration characteristics of a leaf in relation to a plant or plant part.
-
D.
photosyntheticCapability
Indicates the ability of one entity to perform photosynthesis, converting light energy into chemical energy.
-
E.
nettleLeafColor
Indicates the color characteristic exhibited by the leaf of a nettle plant.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:31 a.m.