Triple
T3872129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caenorhabditis elegans |
E92409
|
entity |
| Predicate | percentageHumanGenesWithOrthologs |
P51610
|
FINISHED |
| Object | over 40 percent |
—
|
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: over 40 percent | Statement: [Caenorhabditis elegans, percentageHumanGenesWithOrthologs, over 40 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageHumanGenesWithOrthologs Context triple: [Caenorhabditis elegans, percentageHumanGenesWithOrthologs, over 40 percent]
-
A.
estimatedNumberOfGenes
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.
targetsGene
Indicates that one entity is directed toward, acts upon, or is intended to affect a specific gene.
-
D.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
-
E.
genomeSizeRange
Indicates the range of genome sizes associated with or observed for an 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec5691148190b469af0bee9154db |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.