Triple
T2641179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Genome Project |
E62868
|
entity |
| Predicate | estimatedNumberOfGenes |
P42450
|
FINISHED |
| Object | 20000–25000 |
—
|
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: 20000–25000 | Statement: [Human Genome Project, estimatedNumberOfGenes, 20000–25000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfGenes Context triple: [Human Genome Project, estimatedNumberOfGenes, 20000–25000]
-
A.
genomeSize
Indicates the total amount of genetic material (e.g., in base pairs) contained in an organism’s genome.
-
B.
genomeSizeRange
Indicates the range of genome sizes associated with or observed for an entity.
-
C.
genomeSequenced
Indicates that the complete DNA sequence of an organism’s genome has been determined and recorded.
-
D.
targetsGene
Indicates that one entity is directed toward, acts upon, or is intended to affect a specific gene.
-
E.
numberOfGenera
Indicates the total count of genera associated with or contained within a given 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fdc0bc8190b7fd102b87ee50d1 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:53 p.m.