Triple
T16919027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 佛香阁 |
E410393
|
entity |
| Predicate | 管理机构 |
P9686
|
FINISHED |
| Object | 颐和园管理处 |
E86196
|
NE 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: 颐和园管理处 | Statement: [佛香阁, 管理机构, 颐和园管理处]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 颐和园管理处 Context triple: [佛香阁, 管理机构, 颐和园管理处]
-
A.
颐和园
chosen
颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
-
B.
Beijing Municipal Administration of Parks
The Beijing Municipal Administration of Parks is the city-level government agency responsible for overseeing, maintaining, and operating Beijing’s public parks and major historical gardens.
-
C.
故宫
故宫是位于北京市中心、以明清皇宫建筑群著称的中国古代皇家宫殿与世界文化遗产。
-
D.
Beijing Municipal Ecology and Environment Bureau
The Beijing Municipal Ecology and Environment Bureau is the city-level government agency responsible for formulating and enforcing environmental protection and ecological conservation policies in Beijing.
-
E.
Haidian District Government
Haidian District Government is the administrative authority responsible for governing Beijing’s Haidian District, including areas such as Qinghe Subdistrict.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdec3d0c8190994a0fca335c65d6 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.