Triple
T35694512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokuda |
E1031396
|
entity |
| Predicate | causeOfDestructionRumoredAs |
P193217
|
FINISHED |
| Object | natural cataclysm |
—
|
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: natural cataclysm | Statement: [Yokuda, causeOfDestructionRumoredAs, natural cataclysm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDestructionRumoredAs Context triple: [Yokuda, causeOfDestructionRumoredAs, natural cataclysm]
-
A.
hasCauseOfDestruction
Indicates that one entity is the cause or agent responsible for the destruction or damage of another entity.
-
B.
causeOfDisaster
Indicates that the subject is responsible for bringing about or triggering the specified disaster.
-
C.
causeOfDownfall
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
D.
purposeOfDestruction
Indicates that something is destroyed with the specific aim or intention of achieving a particular goal or outcome.
-
E.
disasterCauseDetail
Indicates a detailed explanation of the specific cause or contributing factors behind a disaster.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69fd3a6905b88190ae12b43576f4cc63 |
completed | May 8, 2026, 1:20 a.m. |
Created at: May 3, 2026, 4:05 p.m.