Triple

T17775419
Position Surface form Disambiguated ID Type / Status
Subject Xiamen Metro E443753 entity
Predicate connectsTo P845 FINISHED
Object Xiamen BRT system 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: Xiamen BRT system | Statement: [Xiamen Metro, connectsTo, Xiamen BRT system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiamen BRT system
Context triple: [Xiamen Metro, connectsTo, Xiamen BRT system]
  • A. Xiamen Metro
    Xiamen Metro is the rapid transit system serving the coastal city of Xiamen in Fujian Province, China, providing urban and suburban rail transportation.
  • B. Xiamen Metro Line 1
    Xiamen Metro Line 1 is a rapid transit line in Xiamen, China, that forms a key north–south backbone of the city’s metro system and connects major urban areas including the airport.
  • C. Guangzhou BRT
    Guangzhou BRT is a high-capacity bus rapid transit system in Guangzhou, China, recognized for its innovative corridor design and heavy passenger throughput.
  • D. Xiamen North railway station
    Xiamen North railway station is a major high-speed rail hub in Xiamen, Fujian Province, serving as a key gateway for passenger traffic along China’s southeastern coast.
  • E. Surat Bus Rapid Transit System
    Surat Bus Rapid Transit System is a dedicated high-capacity bus network in Surat, India, designed to provide fast, reliable, and efficient public transportation across the city and its metropolitan area.
  • 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: Xiamen BRT system
Target entity description: The Xiamen BRT system is a bus rapid transit network in Xiamen, China, featuring dedicated elevated corridors that provide metro-like, high-capacity public transportation across the city.
  • A. Xiamen Metro
    Xiamen Metro is the rapid transit system serving the coastal city of Xiamen in Fujian Province, China, providing urban and suburban rail transportation.
  • B. Xiamen Metro Line 1
    Xiamen Metro Line 1 is a rapid transit line in Xiamen, China, that forms a key north–south backbone of the city’s metro system and connects major urban areas including the airport.
  • C. Guangzhou BRT
    Guangzhou BRT is a high-capacity bus rapid transit system in Guangzhou, China, recognized for its innovative corridor design and heavy passenger throughput.
  • D. Xiamen North railway station
    Xiamen North railway station is a major high-speed rail hub in Xiamen, Fujian Province, serving as a key gateway for passenger traffic along China’s southeastern coast.
  • E. Surat Bus Rapid Transit System
    Surat Bus Rapid Transit System is a dedicated high-capacity bus network in Surat, India, designed to provide fast, reliable, and efficient public transportation across the city and its metropolitan area.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871c23408190aae7f1a2c77a10cb completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.