Triple

T5778184
Position Surface form Disambiguated ID Type / Status
Subject Joseongeul E127495 entity
Predicate historicalName P65 FINISHED
Object Eonmun
Eonmun is an old Korean term referring to the native Korean writing system that later came to be known as Hangul.
 E542933 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: Eonmun | Statement: [Joseongeul, historicalName, Eonmun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eonmun
Context triple: [Joseongeul, historicalName, Eonmun]
  • A. Eonavian
    Eonavian is a Romance language variety spoken in the westernmost part of Asturias, Spain, showing features transitional between Galician-Portuguese and Asturian.
  • B. Enoee
    Enoee refers to the Eno people, a Native American group historically located in what is now the southeastern United States.
  • C. Ochtum
    The Ochtum is a river in northwestern Germany that flows through Lower Saxony and Bremen before joining the Weser.
  • D. Eastrea
    Eastrea is a small village in Cambridgeshire, England, situated near the town of Whittlesey in the Fenland district.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • 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: Eonmun
Triple: [Joseongeul, historicalName, Eonmun]
Generated description
Eonmun is an old Korean term referring to the native Korean writing system that later came to be known as Hangul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eonmun
Target entity description: Eonmun is an old Korean term referring to the native Korean writing system that later came to be known as Hangul.
  • A. Eonavian
    Eonavian is a Romance language variety spoken in the westernmost part of Asturias, Spain, showing features transitional between Galician-Portuguese and Asturian.
  • B. Enoee
    Enoee refers to the Eno people, a Native American group historically located in what is now the southeastern United States.
  • C. Ochtum
    The Ochtum is a river in northwestern Germany that flows through Lower Saxony and Bremen before joining the Weser.
  • D. Eastrea
    Eastrea is a small village in Cambridgeshire, England, situated near the town of Whittlesey in the Fenland district.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e107348190a03086f1cbfae0d3 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e6fd260819090d5e3c877c8bd31 completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08ba48a1c819090f276116a084a01 completed March 23, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_69c08c094bd08190bb3d849bf1a80ad0 completed March 23, 2026, 12:40 a.m.
Created at: March 22, 2026, 3:50 p.m.