Triple
T7947132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 985工程 |
E184524
|
entity |
| Predicate | 主要内容 |
P4446
|
FINISHED |
| Object | 在部分高校集中投入资源 |
—
|
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: 在部分高校集中投入资源 | Statement: [985工程, 主要内容, 在部分高校集中投入资源]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要内容 Context triple: [985工程, 主要内容, 在部分高校集中投入资源]
-
A.
primaryContent
chosen
Indicates that one entity serves as the main or most important content associated with another entity.
-
B.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
C.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or document.
-
D.
secondaryContentType
Indicates the type or category of additional, non-primary content associated with an entity or resource.
-
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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2abdbc819085ae53826d36af3b |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae9361bc48190886b7681e563d46b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:09 p.m.