Triple
T24011082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarraceniaceae |
E594531
|
entity |
| Predicate | isOldWorldTaxon |
P154857
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Sarraceniaceae, isOldWorldTaxon, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldWorldTaxon Context triple: [Sarraceniaceae, isOldWorldTaxon, false]
-
A.
hasClassifiedTaxon
Indicates that an entity has assigned or associated a specific taxonomic classification to another entity.
-
B.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
-
C.
isEndemicGenus
Indicates that a genus naturally occurs only within a specific geographic region and is not found natively elsewhere.
-
D.
hasTaxonomicRankAbove
Indicates that one taxonomic rank is hierarchically higher (more inclusive) than another in a classification system.
-
E.
usedTaxonomicSystem
Indicates that a particular taxonomic classification system was applied or followed when organizing or identifying the entities involved.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d59d6a2c8190860a44c056030826 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:41 p.m.