Triple

T6591710
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 21 E148375 entity
Predicate serves P98 FINISHED
Object Yangluo area E594006 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: Yangluo area | Statement: [Wuhan Metro Line 21, serves, Yangluo area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangluo area
Context triple: [Wuhan Metro Line 21, serves, Yangluo area]
  • A. Yangluo area chosen
    Yangluo area is a district of Wuhan, China, known as an outlying urban zone along the Yangtze River that is connected to the city center by the Yangluo Line of the Wuhan Metro.
  • B. Guomao area
    The Guomao area is a major commercial and transportation hub in Beijing, known for its dense cluster of skyscrapers, shopping centers, and the key Guomao interchange on the city’s ring roads.
  • C. Zhuzihu area
    Zhuzihu area is a scenic valley on Yangmingshan in Taipei, Taiwan, famed for its seasonal calla lily fields, cool climate, and rural mountain landscapes.
  • D. Xinqiao area
    Xinqiao area is a district in Hefei, Anhui Province, China, known for hosting the city’s major international airport and related urban development.
  • E. Tiyan area
    The Tiyan area is a district on the island of Guam that includes the former Naval Air Station and now hosts commercial, governmental, and aviation-related facilities.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aece1f848190a11676e072afb002 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbba656c81909c3876a8f2f7300e completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:55 p.m.