Triple

T552144
Position Surface form Disambiguated ID Type / Status
Subject North China Plain E11862 entity
Predicate spansMunicipality P15633 FINISHED
Object Beijing E2312 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: Beijing | Statement: [North China Plain, spansMunicipality, Beijing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beijing
Context triple: [North China Plain, spansMunicipality, Beijing]
  • A. Beijing chosen
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • B. Shanghai
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • C. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • D. Wuhan
    Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
  • E. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning 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: spansMunicipality
Context triple: [North China Plain, spansMunicipality, Beijing]
  • A. containsDistrictMunicipality
    Indicates that an administrative region includes one or more district municipalities within its boundaries.
  • B. municipality
    Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
  • C. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • D. specialMunicipality
    Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
  • E. hasMunicipalityType
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499047bd4819089ca8345f1b6e46c completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac65f5fa54819087f7d08cdaa5e5ea completed March 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69a494bae210819093c2e0d33a8ca51a completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a49858abd48190bd4b002a93e4a908 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.