Triple
T28718444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | space habitat Elysium |
E730024
|
entity |
| Predicate | artificialEnvironment |
P126284
|
FINISHED |
| Object | Earth-like climate |
—
|
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: Earth-like climate | Statement: [space habitat Elysium, artificialEnvironment, Earth-like climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artificialEnvironment Context triple: [space habitat Elysium, artificialEnvironment, Earth-like climate]
-
A.
environmentAnalogOf
chosen
Indicates that one environment serves as an analogue or counterpart to another, typically mirroring its conditions, structure, or behavior for comparison or simulation purposes.
-
B.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
C.
ambientSpace
Indicates the surrounding or containing space within which an object, structure, or geometric entity is situated or defined.
-
D.
builtEnvironment
Indicates that something is part of, related to, or characteristic of human-made physical surroundings such as buildings, infrastructure, and other constructed spaces.
-
E.
environmentSubtype
Indicates that one environment is a more specific subtype or category within another, more general environment.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65706d96081909df278575e3c67f0 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:52 a.m.