Triple

T30155554
Position Surface form Disambiguated ID Type / Status
Subject 长江武汉段 E766509 entity
Predicate 相关城市群 P168504 FINISHED
Object 长江中游城市群
长江中游城市群是以武汉为核心、涵盖湖北、湖南、江西等省重要城市的国家级城市群和中国中部地区重要的经济增长极。
 E1902214 NE FINISHED

How this triple was built (3 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: 长江中游城市群 | Statement: [长江武汉段, 相关城市群, 长江中游城市群]
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: 长江中游城市群
Triple: [长江武汉段, 相关城市群, 长江中游城市群]
Generated description
长江中游城市群是以武汉为核心、涵盖湖北、湖南、江西等省重要城市的国家级城市群和中国中部地区重要的经济增长极。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 相关城市群
Context triple: [长江武汉段, 相关城市群, 长江中游城市群]
  • A. 相关城市地标
    Indicates a relationship where a city landmark is associated with, connected to, or relevant to a given entity or context.
  • B. 行政区
    Indicates a relationship where one entity is an administrative division or jurisdictional area associated with, governed by, or belonging to another entity.
  • C. 所在都市
    Indicates the city in which an entity is located or based.
  • D. 下辖城市
    Indicates that one administrative region has subordinate cities under its jurisdiction.
  • E. coversUrbanAreas
    Indicates that something extends over, includes, or provides coverage for urban or metropolitan areas.
  • F. None of above. chosen

Provenance (7 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_69f22479cd088190ab4c6f3fce39d1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ed72fb08190955d6bfd90dd3b8e completed May 2, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274cc2c97c8190bc6206f4e0519079 completed June 8, 2026, 11:14 p.m.
NEDg Description generation batch_6a274ddf8d688190b480d115456651c3 completed June 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a274eb19fd48190a2d38ace0cc22b77 completed June 8, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
PDg Predicate description generation batch_69f6749f205c81909d1aacf462912eee completed May 2, 2026, 10:03 p.m.
Created at: April 29, 2026, 7:20 p.m.