Triple
T14823603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qianmen Street |
E348514
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
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.
|
E1122932
|
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: 前门大街 | Statement: [Qianmen Street, ChineseName, 前门大街]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 前门大街 Context triple: [Qianmen Street, ChineseName, 前门大街]
-
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.
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。
-
C.
崇文门
崇文门是北京明清时期内城东南部的一座重要城门遗址及地名,如今也是地铁与商业区的交通枢纽。
-
D.
菜市口
菜市口 is a historic area and major intersection in Beijing, China, formerly known as a public execution ground during the Qing dynasty and now a busy commercial and residential district.
-
E.
春熙路
春熙路是位于中国四川省成都市市中心的一条历史悠久且最为繁华的商业步行街,以购物、美食和城市休闲氛围闻名。
- 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: 前门大街 Triple: [Qianmen Street, ChineseName, 前门大街]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 前门大街 Target entity description: 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.
-
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.
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。
-
C.
崇文门
崇文门是北京明清时期内城东南部的一座重要城门遗址及地名,如今也是地铁与商业区的交通枢纽。
-
D.
菜市口
菜市口 is a historic area and major intersection in Beijing, China, formerly known as a public execution ground during the Qing dynasty and now a busy commercial and residential district.
-
E.
春熙路
春熙路是位于中国四川省成都市市中心的一条历史悠久且最为繁华的商业步行街,以购物、美食和城市休闲氛围闻名。
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe7a8dc8190bcb5ecfa1cbf1601 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389d7c848190813be06bed7813d7 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe5bc7e6848190a243bcfccaea3a37 |
completed | May 8, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe5c271c6c8190bb4127cdf8af6647 |
completed | May 8, 2026, 9:56 p.m. |
Created at: April 10, 2026, 1:51 a.m.