Triple
T12928629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Rainicorn |
E309309
|
entity |
| Predicate | hasParentSpecies |
P85840
|
FINISHED |
| Object | rainicorns |
—
|
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: rainicorns | Statement: [Lady Rainicorn, hasParentSpecies, rainicorns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentSpecies Context triple: [Lady Rainicorn, hasParentSpecies, rainicorns]
-
A.
formerSpecies
Indicates that an entity was previously classified as a particular species but no longer holds that species status.
-
B.
belongsToSpecies
chosen
Indicates that an individual organism is a member of, or classified under, a particular biological species.
-
C.
parentTaxon
Indicates that one taxonomic group is the immediate higher-level (parent) taxon of another taxonomic group.
-
D.
hasSubtaxon
Indicates that one taxonomic group is a subordinate or included taxon within another taxonomic group.
-
E.
hasHybridSpecies
Indicates that one entity is a hybrid species that results from the combination or crossbreeding of another entity (or entities).
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.