Triple

T7968182
Position Surface form Disambiguated ID Type / Status
Subject Guangzhou Metro Line 3 E185258 entity
Predicate servesStation P839 FINISHED
Object Airport South station E237015 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 South station | Statement: [Guangzhou Metro Line 3, servesStation, Airport South station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airport South station
Context triple: [Guangzhou Metro Line 3, servesStation, Airport South station]
  • A. Airport South Station chosen
    Airport South Station is a Guangzhou Metro station serving Guangzhou Baiyun International Airport’s southern terminal area.
  • B. National Airport station
    National Airport station is a Washington Metro rapid transit stop serving Ronald Reagan Washington National Airport in Arlington, Virginia.
  • C. Southeast station
    Southeast station is a Metro-North Railroad commuter rail stop in the town of Southeast, New York, serving the Harlem Line.
  • D. Airport East station
    Airport East station is a Shenzhen Metro rapid transit station serving as the eastern terminus of Line 1 near Shenzhen Bao'an International Airport.
  • E. Riverside station
    Riverside station is a major Massachusetts Bay Transportation Authority light rail station and park-and-ride hub located in Newton, Massachusetts.
  • 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_69cbe0a334e08190ae67a9ca7b51a128 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.