Triple
T34943329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 宝塔山 |
E1007785
|
entity |
| Predicate | 相关主题教育 |
P173745
|
FINISHED |
| Object | 爱国主义教育基地 |
—
|
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: 爱国主义教育基地 | Statement: [宝塔山, 相关主题教育, 爱国主义教育基地]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 相关主题教育 Context triple: [宝塔山, 相关主题教育, 爱国主义教育基地]
-
A.
相关政策
Indicates that there exists a relevant or associated policy that applies to, governs, or influences the specified entity or situation.
-
B.
相关学院
Indicates a relationship where an entity is associated with, belongs to, or is administered by a particular college or faculty within an institution.
-
C.
関連主題
Indicates that there exists a thematically or contextually related subject connected to the given entity.
-
D.
与科举相关活动
Indicates activities that are related to or associated with the imperial examination system.
-
E.
hasEducationTheme
chosen
Indicates that something (such as a resource, activity, or content) is associated with or centered around an educational topic, focus, or theme.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.