Triple
T4645662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drosophila melanogaster |
E101765
|
entity |
| Predicate | approximateGeneCount |
P42450
|
FINISHED |
| Object | about 14000 protein-coding genes |
—
|
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: about 14000 protein-coding genes | Statement: [Drosophila melanogaster, approximateGeneCount, about 14000 protein-coding genes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateGeneCount Context triple: [Drosophila melanogaster, approximateGeneCount, about 14000 protein-coding genes]
-
A.
estimatedNumberOfGenes
chosen
Indicates the approximate count of genes that an entity (such as an organism or genome) is believed to possess.
-
B.
genomeSize
Indicates the total amount of genetic material (e.g., in base pairs) contained in an organism’s genome.
-
C.
genomeSizeRange
Indicates the range of genome sizes associated with or observed for an entity.
-
D.
genomeSequenced
Indicates that the complete DNA sequence of an organism’s genome has been determined and recorded.
-
E.
genomeSegmentCount
Indicates the number of distinct genomic segments associated with a given biological entity or sample.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.