Triple

T15337071
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Ch'ongch'on River E366693 entity
Predicate commander P1061 FINISHED
Object Paik Sun-yup E428173 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: Paik Sun-yup | Statement: [Battle of the Ch'ongch'on River, commander, Paik Sun-yup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paik Sun-yup
Context triple: [Battle of the Ch'ongch'on River, commander, Paik Sun-yup]
  • A. Paik Sun-yup chosen
    Paik Sun-yup was a South Korean army general renowned for his pivotal leadership during the Korean War and for helping to modernize South Korea’s armed forces.
  • B. Chung Ju-yung
    Chung Ju-yung was a South Korean entrepreneur and industrialist who built the Hyundai conglomerate into one of the country’s largest and most influential business empires.
  • C. Jung Jang-seon
    Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
  • D. Won In-choul
    Won In-choul is a South Korean Air Force general who served as the country’s Chairman of the Joint Chiefs of Staff.
  • E. Suh Yun-bok
    Suh Yun-bok was a South Korean long-distance runner best known for winning the 1947 Boston Marathon and later serving as a symbolic sports figure 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e11b22c81908280efe65acd5454 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f11b88819089342e8b088bc95e completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.