Triple

T20457103
Position Surface form Disambiguated ID Type / Status
Subject Gwangjin District E501819 entity
Predicate hasRomanization P2508 FINISHED
Object Gwangjin-gu NE NERFINISHED

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: Gwangjin-gu | Statement: [Gwangjin District, hasRomanization, Gwangjin-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwangjin-gu
Context triple: [Gwangjin District, hasRomanization, Gwangjin-gu]
  • A. Gwangjin-gu chosen
    Gwangjin-gu is a district in eastern Seoul, South Korea, known for its universities, shopping areas, and the Konkuk University and Gangbyeon neighborhoods along the Han River.
  • B. Jungwon-gu
    Jungwon-gu is an administrative district (gu) of the city of Seongnam in Gyeonggi Province, South Korea, comprising residential, commercial, and cultural areas.
  • C. Gangseo-gu
    Gangseo-gu is a western coastal district of Busan, South Korea, known for its industrial complexes, logistics hubs, and proximity to Gimhae International Airport.
  • D. Gangseo-gu
    Gangseo-gu is a western district of Seoul, South Korea, known for its residential neighborhoods, transportation hubs, and proximity to Gimpo International Airport.
  • E. Yeonsu-gu
    Yeonsu-gu is an administrative district of Incheon, South Korea, known for its coastal location, modern residential areas, and proximity to the Songdo International Business District.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a1b03c8190984d9db6d3251308 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:32 a.m.