Triple

T23259286
Position Surface form Disambiguated ID Type / Status
Subject Seocho-gu Office E581959 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Seoul Special City 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: Seoul Special City | Statement: [Seocho-gu Office, locatedInAdministrativeTerritory, Seoul Special City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul Special City
Context triple: [Seocho-gu Office, locatedInAdministrativeTerritory, Seoul Special City]
  • A. Seoul Special City chosen
    Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
  • B. Seoul Land
    Seoul Land is a major amusement park in Gwacheon, South Korea, featuring a variety of rides, themed zones, and family-friendly attractions.
  • C. Seoul Sky
    Seoul Sky is the high-altitude observation deck and tourist attraction located near the top of Seoul’s Lotte World Tower, offering panoramic views of the city.
  • D. Poseuko Taueo Seoul
    Poseuko Taueo Seoul is the Korean romanized name for Posco Tower Seoul, a prominent skyscraper and office building in Seoul, South Korea.
  • E. Seoul Forest
    Seoul Forest is a large urban park in Seoul featuring wooded areas, riverside walks, cultural spaces, and recreational facilities.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c7ec148190b01fd215a0c1daa1 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.