Triple

T23091918
Position Surface form Disambiguated ID Type / Status
Subject Zhongnan Road Station E575775 entity
Predicate serves P98 FINISHED
Object central Wuhan NE NERFINISHED

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: central Wuhan | Statement: [Zhongnan Road Station, serves, central Wuhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Wuhan
Context triple: [Zhongnan Road Station, serves, central Wuhan]
  • A. central Wuhan chosen
    Central Wuhan is the bustling commercial and cultural heart of Wuhan, known for its dense urban development, major shopping streets, and historic riverfront areas.
  • B. Hongshan District, Wuhan
    Hongshan District is a major urban district in southeastern Wuhan, China, known for its concentration of universities, research institutions, and technology-oriented development.
  • C. Qingshan District, Wuhan
    Qingshan District, Wuhan is an urban district on the Yangtze River in Wuhan, Hubei Province, known for its heavy industry and educational institutions.
  • D. Port of Wuhan
    The Port of Wuhan is a major inland river port on the Yangtze River in central China, serving as a key hub for regional trade and transportation.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18daa68d48190842e9cb6de31ea79 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.