Triple

T18383274
Position Surface form Disambiguated ID Type / Status
Subject Beitucheng station E446509 entity
Predicate hasNativeName P1435 FINISHED
Object 北土城站
北土城站 is a Beijing Subway station serving as an interchange between major metro lines in the northern part of central Beijing.
 E1321644 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: 北土城站 | Statement: [Beitucheng station, hasNativeName, 北土城站]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 北土城站
Context triple: [Beitucheng station, hasNativeName, 北土城站]
  • A. 三元桥站
    三元桥站 is a major interchange station in Beijing’s subway network, serving as a key transfer point between multiple metro lines and the airport express.
  • B. 朝阳门站
    朝阳门站 is a major Beijing Subway interchange station serving the central Chaoyangmen area and connecting multiple key metro lines.
  • C. 东四站
    东四站 is a Beijing Subway station located in the Dongsi area of central Beijing, serving as an interchange between multiple metro lines.
  • D. 管庄站
    管庄站 is a Beijing Subway station on Line 6 located in the eastern part of Beijing, China.
  • E. Guomao Station of Beijing Subway
    Guomao Station of the Beijing Subway is a major interchange hub in central Beijing that serves the busy central business district and connects commuters to its surrounding office towers and commercial areas.
  • 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: 北土城站
Triple: [Beitucheng station, hasNativeName, 北土城站]
Generated description
北土城站 is a Beijing Subway station serving as an interchange between major metro lines in the northern part of central Beijing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 北土城站
Target entity description: 北土城站 is a Beijing Subway station serving as an interchange between major metro lines in the northern part of central Beijing.
  • A. 三元桥站
    三元桥站 is a major interchange station in Beijing’s subway network, serving as a key transfer point between multiple metro lines and the airport express.
  • B. 朝阳门站
    朝阳门站 is a major Beijing Subway interchange station serving the central Chaoyangmen area and connecting multiple key metro lines.
  • C. 东四站
    东四站 is a Beijing Subway station located in the Dongsi area of central Beijing, serving as an interchange between multiple metro lines.
  • D. 管庄站
    管庄站 is a Beijing Subway station on Line 6 located in the eastern part of Beijing, China.
  • E. Guomao Station of Beijing Subway
    Guomao Station of the Beijing Subway is a major interchange hub in central Beijing that serves the busy central business district and connects commuters to its surrounding office towers and commercial areas.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179c931c8190b1c7c8284f42f7b7 completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d782cb54819091b847cdeb98ed5c completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8adc00c81908ca0a4825a2bcea1 completed May 13, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_6a03da59c1b081908d9488233c611586 completed May 13, 2026, 1:56 a.m.
Created at: April 10, 2026, 10:45 a.m.