Triple

T35237486
Position Surface form Disambiguated ID Type / Status
Subject 임기택 E1017415 entity
Predicate employer P7 FINISHED
Object 국제해사기구
국제해사기구는 해상 안전과 해양 환경 보호를 위해 국제 해운 규범과 기준을 제정·조정하는 유엔 산하 전문기구이다.
E2130938 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: 국제해사기구 | Statement: [임기택, employer, 국제해사기구]
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: 국제해사기구
Triple: [임기택, employer, 국제해사기구]
Generated description
국제해사기구는 해상 안전과 해양 환경 보호를 위해 국제 해운 규범과 기준을 제정·조정하는 유엔 산하 전문기구이다.

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_69f76de235048190b990070c23c51b6b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78ef13c70819089fe512769ee0f6c completed May 3, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a380421c79481909366c982e6e44971 completed June 21, 2026, 3:32 p.m.
NEDg Description generation batch_6a38050d990481908a57019cf588daa7 completed June 21, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a38059a9cf88190a487032818a0ee14 completed June 21, 2026, 3:39 p.m.
Created at: May 3, 2026, 4:02 p.m.