Triple
T28818352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discoba |
E727691
|
entity |
| Predicate | containsOrganismsWithLifestyle |
P70351
|
FINISHED |
| Object | free-living |
—
|
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: free-living | Statement: [Discoba, containsOrganismsWithLifestyle, free-living]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsOrganismsWithLifestyle Context triple: [Discoba, containsOrganismsWithLifestyle, free-living]
-
A.
includesSpeciesWithLifestyle
chosen
Indicates that a group, habitat, or taxonomic unit contains one or more species characterized by a particular lifestyle or ecological way of living.
-
B.
includesOrganisms
Indicates that one entity contains, encompasses, or has as members one or more specified organisms.
-
C.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
D.
hasFormOfLife
Indicates that one entity possesses, exhibits, or is associated with a particular form or type of life.
-
E.
hasLivingEnvironment
Indicates that an entity exists or resides within a particular living environment or habitat.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 28, 2026, 6:33 a.m.