Triple

T17091480
Position Surface form Disambiguated ID Type / Status
Subject 김책 E414736 entity
Predicate placeOfBirth P1 FINISHED
Object 함경북도 회령군
함경북도 회령군은 북한 함경북도에 위치한 군급 행정구역으로, 두만강 인근의 국경 지역에 자리한 도시 회령을 중심으로 한 지역이다.
 E1250021 NE FINISHED

How this triple was built (4 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: 함경북도 회령군 | Statement: [김책, placeOfBirth, 함경북도 회령군]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 함경북도 회령군
Context triple: [김책, placeOfBirth, 함경북도 회령군]
  • A. 의령군
    의령군은 대한민국 경상남도 내륙에 위치한 농업 중심의 군으로, 조용한 농촌 경관과 역사·문화 유산이 남아 있는 지역이다.
  • B. Changnyeong County
    Changnyeong County is a rural administrative region in South Gyeongsang Province, South Korea, known for its agricultural landscape and historical sites.
  • C. Goseong County
    Goseong County is a coastal county in Gangwon Province, South Korea, known for its scenic East Sea shoreline, historical sites, and proximity to the Demilitarized Zone (DMZ).
  • D. Hampyeong County
    Hampyeong County is a rural county in South Jeolla Province, South Korea, known for its agricultural production and seasonal flower festivals.
  • E. Yeongdeok County
    Yeongdeok County is a coastal county in eastern South Korea known for its scenic shoreline and seafood, particularly snow crabs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 함경북도 회령군
Triple: [김책, placeOfBirth, 함경북도 회령군]
Generated description
함경북도 회령군은 북한 함경북도에 위치한 군급 행정구역으로, 두만강 인근의 국경 지역에 자리한 도시 회령을 중심으로 한 지역이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 함경북도 회령군
Target entity description: 함경북도 회령군은 북한 함경북도에 위치한 군급 행정구역으로, 두만강 인근의 국경 지역에 자리한 도시 회령을 중심으로 한 지역이다.
  • A. 의령군
    의령군은 대한민국 경상남도 내륙에 위치한 농업 중심의 군으로, 조용한 농촌 경관과 역사·문화 유산이 남아 있는 지역이다.
  • B. Changnyeong County
    Changnyeong County is a rural administrative region in South Gyeongsang Province, South Korea, known for its agricultural landscape and historical sites.
  • C. Goseong County
    Goseong County is a coastal county in Gangwon Province, South Korea, known for its scenic East Sea shoreline, historical sites, and proximity to the Demilitarized Zone (DMZ).
  • D. Hampyeong County
    Hampyeong County is a rural county in South Jeolla Province, South Korea, known for its agricultural production and seasonal flower festivals.
  • E. Yeongdeok County
    Yeongdeok County is a coastal county in eastern South Korea known for its scenic shoreline and seafood, particularly snow crabs.
  • F. None of above. chosen

Provenance (5 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfa09b08190be4303dd0d174feb completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee9fd108190b12e8624bb66caf2 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fe2a1b081909483baef845cc2c1 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0130c5f7388190b10a62ed1b61cce0 completed May 11, 2026, 1:28 a.m.
Created at: April 10, 2026, 5:35 a.m.