Triple
T5333270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyson tree |
E123361
|
entity |
| Predicate | lifeSupportFunction |
P2036
|
FINISHED |
| Object | oxygen production |
—
|
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: oxygen production | Statement: [Dyson tree, lifeSupportFunction, oxygen production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeSupportFunction Context triple: [Dyson tree, lifeSupportFunction, oxygen production]
-
A.
supportsLife
chosen
Indicates that one entity provides conditions or resources that allow another entity to live, grow, or remain biologically viable.
-
B.
lifeForm
Indicates that an entity is a living organism or belongs to a category of living organisms.
-
C.
lifeCycle
Indicates the sequence of stages or phases an entity passes through from its beginning, through development and use, to its end or termination.
-
D.
modelOfLife
Indicates that one entity serves as a conceptual or representative model describing the life, lifecycle, or living processes of another entity.
-
E.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ac8e10819088b6a9e02d927044 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.