Triple
T15764350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1707 Hoei earthquake |
E382179
|
entity |
| Predicate | possibleConsequence |
P92478
|
FINISHED |
| Object | may have influenced 1707 Hoei eruption of Mount Fuji |
—
|
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: may have influenced 1707 Hoei eruption of Mount Fuji | Statement: [1707 Hoei earthquake, possibleConsequence, may have influenced 1707 Hoei eruption of Mount Fuji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleConsequence Context triple: [1707 Hoei earthquake, possibleConsequence, may have influenced 1707 Hoei eruption of Mount Fuji]
-
A.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
hasConsequenceHypothesis
chosen
Indicates that one situation, event, or statement is hypothesized to lead to or imply a particular consequence.
-
C.
announcedConsequence
Indicates that one entity has publicly stated or declared a specific outcome or consequence that will result from an action, event, or condition.
-
D.
possibleSideEffect
Indicates that one entity may occur as a side effect or unintended consequence of another entity or action.
-
E.
significantEventConsequence
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.