Triple
T35945417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capparales |
E1039574
|
entity |
| Predicate | notUsedInClassificationSystem |
P116723
|
FINISHED |
| Object | APG II system |
—
|
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: APG II system | Statement: [Capparales, notUsedInClassificationSystem, APG II system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notUsedInClassificationSystem Context triple: [Capparales, notUsedInClassificationSystem, APG II system]
-
A.
notClassifiedAs
Indicates that an entity is explicitly not assigned to, or excluded from, a particular class or category.
-
B.
notUsedInDomain
chosen
Indicates that a given element or resource is not utilized, referenced, or applicable within a specified domain or context.
-
C.
notUsedAt
Indicates that a particular entity is not utilized, applied, or active at a specified location, time, or context.
-
D.
notUsedOver
Indicates that one entity has not been used, applied, or utilized for a duration exceeding a specified time period relative to another entity or reference point.
-
E.
notAutomaticallyUsedBy
Indicates that something is not used by another entity in an automatic or default manner and instead requires explicit action or configuration to be used.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.