Triple
T29608059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorne system |
E754630
|
entity |
| Predicate | hasTaxonomicRankScope |
P58950
|
FINISHED |
| Object | family |
—
|
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: family | Statement: [Thorne system, hasTaxonomicRankScope, family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaxonomicRankScope Context triple: [Thorne system, hasTaxonomicRankScope, family]
-
A.
hasTaxonomicRankAbove
Indicates that one taxonomic rank is hierarchically higher (more inclusive) than another in a classification system.
-
B.
hasTaxonomicRankBelow
Indicates that one taxonomic rank is hierarchically lower (more specific) than another within a classification system.
-
C.
hasMemberTaxonRank
Indicates that a group or higher-level taxon includes members classified at a specified taxonomic rank.
-
D.
establishedTaxonomicRank
Indicates that one entity has formally defined or assigned the taxonomic rank or classification level of another entity within a biological taxonomy.
-
E.
taxonomicRankCoverage
chosen
Indicates the taxonomic rank or range of ranks that a resource, statement, or dataset applies to or covers within a biological classification.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 6:26 p.m.