Triple

T8752931
Position Surface form Disambiguated ID Type / Status
Subject Sajik Baseball Stadium E208002 entity
Predicate hasPublicTransitConnection P3791 FINISHED
Object Sajik Station E229155 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: Sajik Station | Statement: [Sajik Baseball Stadium, hasPublicTransitConnection, Sajik Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sajik Station
Context triple: [Sajik Baseball Stadium, hasPublicTransitConnection, Sajik Station]
  • A. Sajik Station chosen
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • B. Sasang Station
    Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
  • C. Jonggak Station
    Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
  • D. Dorasan Station
    Dorasan Station is a symbolic railway station in South Korea near the Demilitarized Zone, built as a hopeful future gateway for rail travel and trade between South and North Korea.
  • E. Sangmu Station
    Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da8cc548190a31ad542d2faf2d5 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88e892688190ac1434598b3984b9 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:39 p.m.