Triple
T6954144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaylon 1 |
E161198
|
entity |
| Predicate | dominantLifeformType |
P74267
|
FINISHED |
| Object | artificial |
—
|
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: artificial | Statement: [Kaylon 1, dominantLifeformType, artificial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantLifeformType Context triple: [Kaylon 1, dominantLifeformType, artificial]
-
A.
hasDominantSpecies
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
-
B.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
C.
organismType
Indicates the biological classification or kind of organism that an entity is.
-
D.
dominatingFeature
Indicates that one feature stands out as the most prominent or influential characteristic in relation to others.
-
E.
dominantEnvironment
Indicates the primary or prevailing environment or setting in which an entity most characteristically exists, operates, or exerts influence.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dacb524c81909aade2282a4c0c01 |
completed | March 27, 2026, 7:30 p.m. |
Created at: March 27, 2026, 2:29 p.m.