Triple
T16768103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora Brasiliensis |
E407520
|
entity |
| Predicate | digitalVersionAvailable |
P8017
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Flora Brasiliensis, digitalVersionAvailable, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalVersionAvailable Context triple: [Flora Brasiliensis, digitalVersionAvailable, yes]
-
A.
hasPopularDigitalVersionOn
Indicates that an entity has a widely used or well-known digital version available on a specified platform or medium.
-
B.
hasDigitalForm
chosen
Indicates that something exists or is available in a digital or electronic format.
-
C.
digitalProduct
Indicates that one entity is a product that exists in digital form or is delivered electronically rather than physically.
-
D.
digitalRelease
Indicates that a work is made available to the public through digital or online distribution channels.
-
E.
hasDigitalDistribution
Indicates that something is made available or delivered through electronic or online channels rather than through physical media.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0349bc88190938750f1e5af192a |
completed | April 18, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.