Triple

T20133103
Position Surface form Disambiguated ID Type / Status
Subject Seoul Subway Line 7 E490948 entity
Predicate serves P98 FINISHED
Object Nowon District 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: Nowon District | Statement: [Seoul Subway Line 7, serves, Nowon District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nowon District
Context triple: [Seoul Subway Line 7, serves, Nowon District]
  • A. Nowon District chosen
    Nowon District is a northeastern residential and educational district of Seoul, South Korea, known for its large apartment complexes and concentration of universities.
  • B. Nari District
    Nari District is an administrative district in eastern Afghanistan, located within Kunar Province and known for its mountainous terrain near the Pakistan border.
  • C. Moma District
    Moma District is an administrative district in the Sakha Republic (Yakutia) in northeastern Russia, known for its remote Arctic landscapes and river valleys.
  • D. Jung District
    Jung District is a central administrative and commercial district in Seoul, South Korea, known for its major business centers, historic sites, and cultural landmarks.
  • E. Jung District
    Jung District is a central administrative and commercial district of Busan, South Korea, known for its historic markets, port-side location, and dense urban landscape.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66763ee908190af64af31b4ca2377 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.