Triple
T16081921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellwasser events |
E390129
|
entity |
| Predicate | hasUncertainCause |
P9778
|
FINISHED |
| Object | large igneous province volcanism |
—
|
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: large igneous province volcanism | Statement: [Kellwasser events, hasUncertainCause, large igneous province volcanism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUncertainCause Context triple: [Kellwasser events, hasUncertainCause, large igneous province volcanism]
-
A.
deathCauseUncertainty
Indicates that there is ambiguity, doubt, or lack of definitive information about the cause of death in the relationship being described.
-
B.
hasUncertainNature
Indicates that the nature, status, or characteristics of the relationship or situation are not clearly defined, known, or determined.
-
C.
hasUncertainty
chosen
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
D.
hasUncertaintyReason
Indicates that there is a specific reason or explanation for why something is uncertain or not known with confidence.
-
E.
hasUncertainIdentification
Indicates that the identification or classification of an entity in the relationship is doubtful, ambiguous, or not fully confirmed.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.