Triple
T14841334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongwenmen station |
E348970
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object |
Beijing Railway Station area
The Beijing Railway Station area is a major transportation and commercial district in central Beijing centered around the historic main railway terminal and its surrounding hotels, shops, and urban infrastructure.
|
E1121942
|
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: Beijing Railway Station area | Statement: [Chongwenmen station, servesNeighborhood, Beijing Railway Station area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beijing Railway Station area Context triple: [Chongwenmen station, servesNeighborhood, Beijing Railway Station area]
-
A.
Hepingmen area
The Hepingmen area is a historic commercial and cultural district in central Beijing known for its traditional shops, eateries, and proximity to famous old streets like Liulichang.
-
B.
Beijing Capital International Airport area
Beijing Capital International Airport area is the zone surrounding Beijing’s main international airport, encompassing its terminals, transport links, and related commercial and service facilities.
-
C.
Qianmen area
The Qianmen area is a historic commercial and cultural district just south of Tiananmen Square in central Beijing, known for its traditional architecture, shopping streets, and long-standing local eateries.
-
D.
Beijing Central Business District
Beijing Central Business District is Beijing’s primary commercial and financial hub, known for its dense cluster of skyscrapers, multinational corporate headquarters, and major media and business institutions.
-
E.
Jianguomen station
Jianguomen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between central city lines near the historic Jianguomen area.
- 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: Beijing Railway Station area Triple: [Chongwenmen station, servesNeighborhood, Beijing Railway Station area]
Generated description
The Beijing Railway Station area is a major transportation and commercial district in central Beijing centered around the historic main railway terminal and its surrounding hotels, shops, and urban infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beijing Railway Station area Target entity description: The Beijing Railway Station area is a major transportation and commercial district in central Beijing centered around the historic main railway terminal and its surrounding hotels, shops, and urban infrastructure.
-
A.
Hepingmen area
The Hepingmen area is a historic commercial and cultural district in central Beijing known for its traditional shops, eateries, and proximity to famous old streets like Liulichang.
-
B.
Beijing Capital International Airport area
Beijing Capital International Airport area is the zone surrounding Beijing’s main international airport, encompassing its terminals, transport links, and related commercial and service facilities.
-
C.
Qianmen area
The Qianmen area is a historic commercial and cultural district just south of Tiananmen Square in central Beijing, known for its traditional architecture, shopping streets, and long-standing local eateries.
-
D.
Beijing Central Business District
Beijing Central Business District is Beijing’s primary commercial and financial hub, known for its dense cluster of skyscrapers, multinational corporate headquarters, and major media and business institutions.
-
E.
Jianguomen station
Jianguomen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between central city lines near the historic Jianguomen area.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28fa49c81908d1059e6cafd607f |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a9eb9481908ca509f484007cf6 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3d0eca948190b107bc593b6e5b72 |
completed | May 8, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3d94785881908911a7c6f1546d45 |
completed | May 8, 2026, 7:46 p.m. |
Created at: April 10, 2026, 1:53 a.m.