Triple

T19117143
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Seoul Metropolitan Subway) E467934 entity
Predicate connectsDistrict P2564 FINISHED
Object Mapo District E532616 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: Mapo District | Statement: [Line 2 (Seoul Metropolitan Subway), connectsDistrict, Mapo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapo District
Context triple: [Line 2 (Seoul Metropolitan Subway), connectsDistrict, Mapo District]
  • A. Mapo District chosen
    Mapo District is a vibrant administrative and cultural area in western Seoul, South Korea, known for neighborhoods like Hongdae and its lively arts, nightlife, and dining scenes.
  • B. Omate District
    Omate District is an administrative district located within Peru's southern Andean region, known for its rural communities and highland landscapes.
  • C. Nangang District
    Nangang District is a central urban district of Harbin, China, known as a major administrative, commercial, and educational hub of the city.
  • D. Nangang District
    Nangang District is an eastern district of Taipei, Taiwan, known for its technology parks, transportation hubs, and role as a growing center for business and innovation.
  • E. Hongo district
    Hongo district is a historic and academic neighborhood in Tokyo’s Bunkyō ward, known for institutions like the University of Tokyo and its traditional residential character.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e399a6d8819090a9501ff1637b9d completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e671f2988190a74d53989124026b completed May 14, 2026, 3:12 p.m.
Created at: April 10, 2026, 12:05 p.m.