Triple
T36463769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takifugu rubripes |
E898369
|
entity |
| Predicate | hasShortIntrons |
P188835
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Takifugu rubripes, hasShortIntrons, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortIntrons Context triple: [Takifugu rubripes, hasShortIntrons, true]
-
A.
hasIsoform
Indicates that one biological variant or form of a molecule, typically a protein or gene product, is an alternative isoform of another.
-
B.
hasShort
Indicates that an entity possesses or is characterized by something of short length or duration.
-
C.
exonCountApproximate
Indicates that the number of exons associated with an entity is an estimated or approximate count rather than an exact value.
-
D.
hasShortRun
Indicates that an entity has a brief or limited-duration run or operational period.
-
E.
alternativeSplicingFeature
Indicates that a genomic region or element participates in an alternative splicing event, distinguishing it as a feature involved in generating splice variants.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.