Triple

T17796061
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen Metro Line 3 E444294 entity
Predicate hasStation P35 FINISHED
Object Shenzhen Convention and Exhibition Center station NE NERFINISHED

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: Shenzhen Convention and Exhibition Center station | Statement: [Shenzhen Metro Line 3, hasStation, Shenzhen Convention and Exhibition Center station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenzhen Convention and Exhibition Center station
Context triple: [Shenzhen Metro Line 3, hasStation, Shenzhen Convention and Exhibition Center station]
  • A. Shenzhen University station
    Shenzhen University station is a metro station in Shenzhen, China, serving the area around Shenzhen University and nearby commercial and residential districts.
  • B. Shenzhen Railway Station
    Shenzhen Railway Station is a major border railway hub in Shenzhen, China, serving as a key gateway between mainland China and Hong Kong.
  • C. Shenzhen North railway station
    Shenzhen North railway station is a major high-speed rail hub in Shenzhen, China, serving as a key gateway for regional and national rail connections.
  • D. Panyu Square station
    Panyu Square station is a metro station in Guangzhou, China, functioning as a stop on the busy Guangzhou Metro Line 3 and serving the Panyu District area.
  • E. Huaqiang Road station
    Huaqiang Road station is a Shenzhen Metro station serving the busy Huaqiangbei electronics and commercial district in Shenzhen, China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shenzhen Convention and Exhibition Center station
Target entity description: Shenzhen Convention and Exhibition Center station is a major underground metro stop in Shenzhen’s central business district that serves the city’s primary convention and exhibition complex.
  • A. Shenzhen University station
    Shenzhen University station is a metro station in Shenzhen, China, serving the area around Shenzhen University and nearby commercial and residential districts.
  • B. Shenzhen Railway Station
    Shenzhen Railway Station is a major border railway hub in Shenzhen, China, serving as a key gateway between mainland China and Hong Kong.
  • C. Shenzhen North railway station
    Shenzhen North railway station is a major high-speed rail hub in Shenzhen, China, serving as a key gateway for regional and national rail connections.
  • D. Panyu Square station
    Panyu Square station is a metro station in Guangzhou, China, functioning as a stop on the busy Guangzhou Metro Line 3 and serving the Panyu District area.
  • E. Huaqiang Road station
    Huaqiang Road station is a Shenzhen Metro station serving the busy Huaqiangbei electronics and commercial district in Shenzhen, China.
  • F. None of above. chosen

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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fafc2c8190b28e791267c47e3c completed April 19, 2026, 7:44 a.m.
Created at: April 10, 2026, 10:13 a.m.