Triple
T22931929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UniGene |
E569464
|
entity |
| Predicate | hasOrganismCoverage |
P122182
|
FINISHED |
| Object | Homo sapiens |
—
|
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: Homo sapiens | Statement: [UniGene, hasOrganismCoverage, Homo sapiens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrganismCoverage Context triple: [UniGene, hasOrganismCoverage, Homo sapiens]
-
A.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
B.
includesOrganisms
chosen
Indicates that one entity contains, encompasses, or has as members one or more specified organisms.
-
C.
hasCoverage
Indicates that one entity provides insurance or protection coverage for another entity or subject.
-
D.
hasFrequencyCoverage
Indicates that one entity provides, supports, or is applicable across a specified range or set of frequencies associated with another entity.
-
E.
containsModelOrganisms
Indicates that one entity includes or incorporates model organisms as part of its contents or composition.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813260608190bb9e1ca704c7e12f |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:44 p.m.