Triple
T22324451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 第二次上海事変 |
E551866
|
entity |
| Predicate | 民間人への影響 |
P1405
|
FINISHED |
| Object | 上海市街の大規模破壊 |
—
|
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: 上海市街の大規模破壊 | Statement: [第二次上海事変, 民間人への影響, 上海市街の大規模破壊]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 民間人への影響 Context triple: [第二次上海事変, 民間人への影響, 上海市街の大規模破壊]
-
A.
civilianImpact
chosen
Indicates the extent to which an action, event, or situation affects civilians, especially in terms of harm, disruption, or other consequences.
-
B.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
C.
hasCulturalImpact
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
-
D.
業績の影響
Indicates that one entity’s performance or results have an effect on, or bring about changes in, another entity or outcome.
-
E.
socialImpact
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15767425481909547bfe294fe06de |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.