Triple
T15239854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jianguomen Outer Street |
E364225
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
建国门外大街
建国门外大街 is a major thoroughfare in Beijing’s central business and diplomatic district, lined with office towers, embassies, and commercial complexes.
|
E1145014
|
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: 建国门外大街 | Statement: [Jianguomen Outer Street, ChineseName, 建国门外大街]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 建国门外大街 Context triple: [Jianguomen Outer Street, ChineseName, 建国门外大街]
-
A.
王府井大街
王府井大街 is one of Beijing’s most famous and bustling shopping streets, known for its large department stores, traditional snack stalls, and vibrant pedestrian atmosphere.
-
B.
前门大街
前门大街 is a historic commercial pedestrian street in central Beijing, known for its traditional architecture, long-standing shops, and role as a major cultural and tourist destination near Tiananmen Square.
-
C.
阜成门
阜成门是北京旧城西部的一座历史城门遗址,曾是明清时期京城重要的出入口之一。
-
D.
安定门
安定门是北京旧城北部的一座历史城门遗址及地名,现为重要交通枢纽和地标区域。
-
E.
Xizhimen Outer Street
Xizhimen Outer Street is a major thoroughfare in Beijing’s Xicheng District, known for connecting key urban areas and serving important landmarks such as the Beijing Zoo.
- 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: 建国门外大街 Triple: [Jianguomen Outer Street, ChineseName, 建国门外大街]
Generated description
建国门外大街 is a major thoroughfare in Beijing’s central business and diplomatic district, lined with office towers, embassies, and commercial complexes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 建国门外大街 Target entity description: 建国门外大街 is a major thoroughfare in Beijing’s central business and diplomatic district, lined with office towers, embassies, and commercial complexes.
-
A.
王府井大街
王府井大街 is one of Beijing’s most famous and bustling shopping streets, known for its large department stores, traditional snack stalls, and vibrant pedestrian atmosphere.
-
B.
前门大街
前门大街 is a historic commercial pedestrian street in central Beijing, known for its traditional architecture, long-standing shops, and role as a major cultural and tourist destination near Tiananmen Square.
-
C.
阜成门
阜成门是北京旧城西部的一座历史城门遗址,曾是明清时期京城重要的出入口之一。
-
D.
安定门
安定门是北京旧城北部的一座历史城门遗址及地名,现为重要交通枢纽和地标区域。
-
E.
Xizhimen Outer Street
Xizhimen Outer Street is a major thoroughfare in Beijing’s Xicheng District, known for connecting key urban areas and serving important landmarks such as the Beijing Zoo.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007db9a148190aadea8d5f8b6b261 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd41b7c48190917385c6c61370b2 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedf49f1c88190857cb1555e98c97e |
completed | May 9, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee06a90448190b7733aa5ee8a5d62 |
completed | May 9, 2026, 7:21 a.m. |
Created at: April 10, 2026, 3:12 a.m.