Triple

T8906448
Position Surface form Disambiguated ID Type / Status
Subject 外滩 E212071 entity
Predicate 临近水体 P49291 FINISHED
Object 黄浦江
黄浦江是流经中国上海市中心、将浦西与浦东分隔开并最终汇入长江的重要城市河流。
E766392 NE FINISHED

How this triple was built (5 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: 黄浦江 | Statement: [外滩, 临近水体, 黄浦江]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 黄浦江
Context triple: [外滩, 临近水体, 黄浦江]
  • A. 海河
    海河是中国北方重要的河流和水系之一,流经天津等地并最终注入渤海。
  • B. 天河
    天河是中国广东省广州市的一个重要市辖区,以其现代化的城市景观和繁华的商业中心而闻名。
  • C. 汉江
    汉江是中国长江中游最大的支流之一,流经陕西、湖北等地并在武汉与长江汇合。
  • D. 富春江
    富春江是中国浙江省境内一条以秀丽山水风光和人文景观著称的重要河流与旅游胜地。
  • E.
    河 is a common Chinese character meaning “river,” frequently used in place names and everyday vocabulary.
  • 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: 黄浦江
Triple: [外滩, 临近水体, 黄浦江]
Generated description
黄浦江是流经中国上海市中心、将浦西与浦东分隔开并最终汇入长江的重要城市河流。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 黄浦江
Target entity description: 黄浦江是流经中国上海市中心、将浦西与浦东分隔开并最终汇入长江的重要城市河流。
  • A. 海河
    海河是中国北方重要的河流和水系之一,流经天津等地并最终注入渤海。
  • B. 天河
    天河是中国广东省广州市的一个重要市辖区,以其现代化的城市景观和繁华的商业中心而闻名。
  • C. 汉江
    汉江是中国长江中游最大的支流之一,流经陕西、湖北等地并在武汉与长江汇合。
  • D. 富春江
    富春江是中国浙江省境内一条以秀丽山水风光和人文景观著称的重要河流与旅游胜地。
  • E.
    河 is a common Chinese character meaning “river,” frequently used in place names and everyday vocabulary.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 临近水体
Context triple: [外滩, 临近水体, 黄浦江]
  • A. hasNearbyWater chosen
    Indicates that one entity is located close to a body of water associated with or relevant to another entity.
  • B. adjacentToBodyOfWater
    Indicates that one entity is directly next to or bordering a body of water, such as a lake, river, or ocean.
  • C. hasAssociatedWaterBody
    Indicates that one entity is linked to, or occurs in connection with, a specific body of water such as a river, lake, or sea.
  • D. locatedInWaterBodyType
    Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
  • E. locatedOnWaterbody
    Indicates that an entity is situated on or directly adjacent to a specified body of water.
  • F. None of above.

Provenance (6 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c51d6c819098dc33a480dfd462 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba2cb5e48190813e9c08198149b0 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbaf8aa4c8190821ace3f0f53a9b3 completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb9585688190b3aa3d817bafba51 completed April 3, 2026, 1:07 p.m.
PD Predicate disambiguation batch_69cc5ecf55248190a29f00fbf99f13c4 completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:55 p.m.