Triple
T21150245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 孔祥熙 |
E521167
|
entity |
| Predicate | 主要领域 |
P104570
|
FINISHED |
| Object | 财政政策 |
—
|
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: 财政政策 | Statement: [孔祥熙, 主要领域, 财政政策]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要领域 Context triple: [孔祥熙, 主要领域, 财政政策]
-
A.
primaryBusinessArea
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
-
B.
majorField
chosen
Indicates the primary academic discipline or field of study in which an entity (typically a person or program) specializes.
-
C.
majorActivity
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
-
D.
laterMainBusiness
Indicates that one business activity or enterprise occurs after and succeeds another as the main business.
-
E.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72400911c8190978e88138a9bfaff |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.