Triple
T16370862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Ordovician mass extinction |
E397558
|
entity |
| Predicate | estimatedGenusLoss |
P83099
|
FINISHED |
| Object | around 50 percent of marine genera |
—
|
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: around 50 percent of marine genera | Statement: [Late Ordovician mass extinction, estimatedGenusLoss, around 50 percent of marine genera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedGenusLoss Context triple: [Late Ordovician mass extinction, estimatedGenusLoss, around 50 percent of marine genera]
-
A.
estimatedMarineGeneraLossPercentage
chosen
Indicates the percentage of marine genera that are estimated to have been lost, typically due to an extinction event or environmental change.
-
B.
estimatedNumberOfGenes
Indicates the approximate count of genes that an entity (such as an organism or genome) is believed to possess.
-
C.
estimatedUsing
Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
-
D.
populationEstimateLoss
Indicates a reduction or decrease in a previously estimated population size.
-
E.
revealsLoss
Indicates that one entity discloses or makes known the loss experienced by another entity or itself.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff420d04819096ff12e08edf2f8b |
completed | April 18, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.