Triple

T7101831
Position Surface form Disambiguated ID Type / Status
Subject Zhuzhou E165476 entity
Predicate formsUrbanClusterWith P38278 FINISHED
Object Changsha E29743 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: Changsha | Statement: [Zhuzhou, formsUrbanClusterWith, Changsha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Changsha
Context triple: [Zhuzhou, formsUrbanClusterWith, Changsha]
  • A. Changsha chosen
    Changsha is the capital city of Hunan Province in south-central China, known as a historic cultural center and major regional economic hub.
  • B. Zhuzhou
    Zhuzhou is a major industrial and transportation hub city in south-central China, known especially for its rail transit and manufacturing industries.
  • C. Changde
    Changde is a city in northwestern Hunan Province, China, historically significant as a major battleground during the Second Sino-Japanese War.
  • D. Xiangtan
    Xiangtan is a prefecture-level city in central Hunan Province, China, known as an important industrial and commercial hub and for encompassing Shaoshan, the birthplace of Mao Zedong.
  • E. Hengyang
    Hengyang is a major industrial and transportation hub city in southern China, located along the Xiang River in the south of Hunan Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formsUrbanClusterWith
Context triple: [Zhuzhou, formsUrbanClusterWith, Changsha]
  • A. formsUrbanAreaWith chosen
    Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
  • B. isUrbanForm
    Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
  • C. arealCluster
    Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
  • D. hasUrbanAgglomeration
    Indicates that an entity includes, is associated with, or is characterized by a specific urban agglomeration (a densely populated urban area and its surrounding zones).
  • E. isUrbanCentreFor
    Indicates that one place functions as the primary urban hub or central city serving another area or population.
  • F. None of above.

Provenance (4 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e588aee08190bfb3d96135c0a322 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad83aa288190b06262ac9898f5c1 completed March 28, 2026, 10:29 a.m.
PD Predicate disambiguation batch_69c6e1c313e481908b61a23fc89f9332 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:42 p.m.