Triple
T8520063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triassic–Jurassic extinction event |
E201672
|
entity |
| Predicate | estimatedMarineGeneraLossPercentage |
P83099
|
FINISHED |
| Object | 20–30 |
—
|
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: 20–30 | Statement: [Triassic–Jurassic extinction event, estimatedMarineGeneraLossPercentage, 20–30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedMarineGeneraLossPercentage Context triple: [Triassic–Jurassic extinction event, estimatedMarineGeneraLossPercentage, 20–30]
-
A.
extinctSpeciesCount
Indicates the number of species within a given scope that have ceased to exist.
-
B.
populationLoss
Indicates a decrease in the number of individuals within a defined population over a given period or due to specific causes.
-
C.
terrestrialVertebrateSpeciesLoss
Indicates the reduction or disappearance of species of land-dwelling vertebrate animals within a given area or time period.
-
D.
economicDamageApprox
Indicates that one entity has caused or is associated with an estimated or approximate amount of economic damage to another entity or system.
-
E.
massExtinctionCount
Indicates the number of mass extinction events associated with or affecting a given entity or context.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe628f8c48190a35201f9fde605cc |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:16 p.m.