Triple
T13052188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V’Ger |
E327473
|
entity |
| Predicate | encounteredSpecies |
P59091
|
FINISHED |
| Object | machine lifeforms |
—
|
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: machine lifeforms | Statement: [V’Ger, encounteredSpecies, machine lifeforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encounteredSpecies Context triple: [V’Ger, encounteredSpecies, machine lifeforms]
-
A.
encountersSpecies
chosen
Indicates that one entity comes into contact with or meets a particular species.
-
B.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
C.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
D.
moreSpeciesIn
Indicates that one location or context contains a greater number of distinct species than another location or context.
-
E.
introducedSpecies
Indicates that a species has been brought by humans, intentionally or unintentionally, into an environment where it does not naturally occur.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.