Triple
T3872072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caenorhabditis elegans |
E92409
|
entity |
| Predicate | geneCount |
P42450
|
FINISHED |
| Object | approximately 20000 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: approximately 20000 protein-coding genes | Statement: [Caenorhabditis elegans, geneCount, approximately 20000 protein-coding genes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geneCount Context triple: [Caenorhabditis elegans, geneCount, approximately 20000 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.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
D.
genomeSequenced
Indicates that the complete DNA sequence of an organism’s genome has been determined and recorded.
-
E.
numberOfGenera
Indicates the total count of genera associated with or contained within a given entity.
- 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_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. |
Created at: March 9, 2026, 3:20 p.m.