Triple
T18783949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton-S |
E459326
|
entity |
| Predicate | hasPhenotype |
P99469
|
FINISHED |
| Object | normal eye morphology |
—
|
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: normal eye morphology | Statement: [Canton-S, hasPhenotype, normal eye morphology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhenotype Context triple: [Canton-S, hasPhenotype, normal eye morphology]
-
A.
hasHumanCharacteristic
Indicates that an entity possesses a trait, quality, or behavior typically associated with humans.
-
B.
hasPhylum
Indicates that an entity (typically a biological taxon or organism) is classified as belonging to a particular phylum in a taxonomic hierarchy.
-
C.
hasAllele
Indicates that a biological entity possesses or carries a specific allele variant of a gene.
-
D.
subjectHasCharacteristic
chosen
Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
-
E.
hasGene
Indicates that an entity possesses or contains a specific gene as part of its genetic makeup.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977f34e48190a9932af330ea4f92 |
completed | April 20, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.