Triple

T7968183
Position Surface form Disambiguated ID Type / Status
Subject Guangzhou Metro Line 3 E185258 entity
Predicate servesStation P839 FINISHED
Object Airport North station E241165 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: Airport North station | Statement: [Guangzhou Metro Line 3, servesStation, Airport North station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airport North station
Context triple: [Guangzhou Metro Line 3, servesStation, Airport North station]
  • A. National Airport station
    National Airport station is a Washington Metro rapid transit stop serving Ronald Reagan Washington National Airport in Arlington, Virginia.
  • B. Airport North Station chosen
    Airport North Station is a Guangzhou Metro station serving the northern area of Guangzhou Baiyun International Airport.
  • C. Airport North Station
    Airport North Station is a metro station in Shenzhen that serves the Shenzhen Bao’an International Airport area, providing urban rail access for air travelers and airport staff.
  • D. Airport South Station
    Airport South Station is a Guangzhou Metro station serving Guangzhou Baiyun International Airport’s southern terminal area.
  • E. American Boulevard Station
    American Boulevard Station is a light rail stop on Metro Transit's Blue Line serving the Bloomington, Minnesota area near the Mall of America.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd06ee081908c5080003fb7b8f7 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566afad88190b53f228d836619de completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:13 p.m.