Triple
T25513779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endless Forms Most Beautiful |
E639449
|
entity |
| Predicate | discussesOrganismGroup |
P158615
|
FINISHED |
| Object | arthropods |
—
|
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: arthropods | Statement: [Endless Forms Most Beautiful, discussesOrganismGroup, arthropods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussesOrganismGroup Context triple: [Endless Forms Most Beautiful, discussesOrganismGroup, arthropods]
-
A.
taxonGroup
Indicates a classification relationship where one taxon is grouped within or associated with a broader taxonomic group.
-
B.
includesOrganisms
Indicates that one entity contains, encompasses, or has as members one or more specified organisms.
-
C.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
-
D.
organismType
Indicates the biological classification or kind of organism that an entity is.
-
E.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f830a37c81909b3dae7a7ca10261 |
completed | May 2, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:54 p.m.