Triple

T11816952
Position Surface form Disambiguated ID Type / Status
Subject Jiaxing E281023 entity
Predicate hasCountyLevelCity P27799 FINISHED
Object Pinghu E276130 NE FINISHED

How this triple was built (2 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: Pinghu | Statement: [Jiaxing, hasCountyLevelCity, Pinghu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinghu
Context triple: [Jiaxing, hasCountyLevelCity, Pinghu]
  • A. Xiping
    Xiping was an era name used during the reign of Emperor Ling in the late Eastern Han dynasty of China.
  • B. Pinghu City chosen
    Pinghu City is a county-level coastal city in northern Zhejiang Province, China, known for its manufacturing industry and proximity to Shanghai across Hangzhou Bay.
  • C. Houhai
    Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
  • D. Gubeikou
    Gubeikou is a historically significant mountain pass and Great Wall fortification in northern China that has long served as a strategic gateway between the North China Plain and the Mongolian plateau.
  • E. Fengjing
    Fengjing is an ancient water town in Shanghai, China, renowned for its well-preserved traditional architecture, stone bridges, and network of canals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131b62abc8190a02f584541baaee5 completed April 28, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:42 p.m.