Triple

T12057592
Position Surface form Disambiguated ID Type / Status
Subject 손기정 E287081 entity
Predicate placeOfBirth P1 FINISHED
Object 대한제국 경성부 E584189 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: 대한제국 경성부 | Statement: [손기정, placeOfBirth, 대한제국 경성부]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 대한제국 경성부
Context triple: [손기정, placeOfBirth, 대한제국 경성부]
  • A. Sejong City
    Sejong City is South Korea’s planned administrative capital, designed to house numerous government ministries and ease congestion in Seoul.
  • B. Keijō chosen
    Keijō was the Japanese colonial name for Seoul, which served as the administrative center of Japanese-ruled Korea.
  • C. Kangbuk-gu, Seoul
    Kangbuk-gu, Seoul is a northern district of South Korea’s capital city known for its residential neighborhoods, mountainous landscapes, and cultural sites.
  • D. Jinju-si
    Jinju-si is a city in South Gyeongsang Province, South Korea, known for its historic Jinju Fortress and the annual Namgang Yudeung (Lantern) Festival.
  • E. Hanseong
    Hanseong was the historical name for Seoul when it served as the capital of the Joseon Dynasty in Korea.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043bf0ec8190a51ef2641808320c completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dea043c8190a74ffb448bbae5d0 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.