Triple
T18774528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ate |
E459101
|
entity |
| Predicate | consequenceOfInfluence |
P132927
|
FINISHED |
| Object | misfortune |
—
|
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: misfortune | Statement: [Ate, consequenceOfInfluence, misfortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfInfluence Context triple: [Ate, consequenceOfInfluence, misfortune]
-
A.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
significantEventConsequence
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
-
C.
hasConsequenceHypothesis
Indicates that one situation, event, or statement is hypothesized to lead to or imply a particular consequence.
-
D.
consequenceOfApplication
Indicates that something occurs as a result or outcome of a particular application or use of something.
-
E.
hasImplicationsFor
Indicates that one entity’s state, action, or condition leads to consequences, effects, or relevance for another entity.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933888408190a21f9ac5b360d1eb |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:52 a.m.