Triple
T35108718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陳其美 |
E1013224
|
entity |
| Predicate | 反對對象 |
P437
|
FINISHED |
| Object | 清朝政府 |
—
|
NE NERFINISHED |
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: 清朝政府 | Statement: [陳其美, 反對對象, 清朝政府]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 反對對象 Context triple: [陳其美, 反對對象, 清朝政府]
-
A.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
opposesIdentity
Indicates that one entity actively rejects, resists, or stands in opposition to the identity, self-conception, or defining characteristics of another entity.
-
C.
opposesLabel
Indicates that one entity expresses disagreement with, resistance to, or active opposition against another entity or its position.
-
D.
opposedProject
Indicates that an entity actively resisted, disagreed with, or worked against a particular project.
-
E.
opposedDuring
Indicates that one entity actively resisted or was in conflict with another entity during a specified time period or event.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.