Triple
T3015377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fengtai District |
E82323
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fangzhuang
Fangzhuang is a residential neighborhood and commercial area in Beijing, China, known as one of the city’s earlier large-scale planned communities.
|
E317837
|
NE FINISHED |
How this triple was built (4 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: Fangzhuang | Statement: [Fengtai District, contains, Fangzhuang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fangzhuang Context triple: [Fengtai District, contains, Fangzhuang]
-
A.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
-
B.
Ruchang
Ruchang is a Chinese given name most notably borne by Ding Ruchang, a late Qing dynasty naval commander.
-
C.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
D.
Zhujiajiao
Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
-
E.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fangzhuang Triple: [Fengtai District, contains, Fangzhuang]
Generated description
Fangzhuang is a residential neighborhood and commercial area in Beijing, China, known as one of the city’s earlier large-scale planned communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fangzhuang Target entity description: Fangzhuang is a residential neighborhood and commercial area in Beijing, China, known as one of the city’s earlier large-scale planned communities.
-
A.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
-
B.
Ruchang
Ruchang is a Chinese given name most notably borne by Ding Ruchang, a late Qing dynasty naval commander.
-
C.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
D.
Zhujiajiao
Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
-
E.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
- F. None of above. chosen
Provenance (5 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6b37288190a6965d183ca4b08b |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6b78448190beb41460314278ec |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b12faf75ac81909031430d58919c95 |
completed | March 11, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1c7d3f2c88190aa26d8d12777b2a2 |
completed | March 11, 2026, 7:51 p.m. |
Created at: March 8, 2026, 3 p.m.