Triple

T19439585
Position Surface form Disambiguated ID Type / Status
Subject Luohu station E486309 entity
Predicate fareZone P844 FINISHED
Object Shenzhen Metro system 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: Shenzhen Metro system | Statement: [Luohu station, fareZone, Shenzhen Metro system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenzhen Metro system
Context triple: [Luohu station, fareZone, Shenzhen Metro system]
  • A. Shenzhen Metro chosen
    Shenzhen Metro is the rapid transit system serving the city of Shenzhen, China, known for its extensive, modern network and role in supporting the region’s fast-paced urban development.
  • B. Guangzhou Metro
    Guangzhou Metro is the rapid transit system serving Guangzhou, China, forming one of the country’s largest and busiest urban rail networks.
  • C. Shenzhen Metro Line 11
    Shenzhen Metro Line 11 is a high-speed, express metro line in Shenzhen that connects the city center with key districts and Shenzhen Bao'an International Airport.
  • D. Shenzhen Metro Line 16
    Shenzhen Metro Line 16 is a rapid transit line in the Shenzhen Metro system serving the Longgang area and surrounding districts in Shenzhen, China.
  • E. Shenzhen Metro Line 10
    Shenzhen Metro Line 10 is a rapid transit line in Shenzhen’s metro system that serves key residential and commercial districts and connects with multiple other lines to facilitate cross-city travel.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633637ea48190bfa36b0b0a2762bc completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.