Triple

T5264798
Position Surface form Disambiguated ID Type / Status
Subject Joseon E118911 entity
Predicate currency P245 FINISHED
Object mun
The mun was the traditional Korean coin-based currency used during the Joseon dynasty before the adoption of modern monetary systems.
 E507361 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: mun | Statement: [Joseon, currency, mun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: mun
Context triple: [Joseon, currency, mun]
  • A. unm
    unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • B. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • C. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • D. Mot
    Mot is the Phoenician god of death and the underworld, associated with sterility, drought, and the cyclical struggle against life-giving deities.
  • E. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • 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: mun
Triple: [Joseon, currency, mun]
Generated description
The mun was the traditional Korean coin-based currency used during the Joseon dynasty before the adoption of modern monetary systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: mun
Target entity description: The mun was the traditional Korean coin-based currency used during the Joseon dynasty before the adoption of modern monetary systems.
  • A. unm
    unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • B. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • C. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • D. Mot
    Mot is the Phoenician god of death and the underworld, associated with sterility, drought, and the cyclical struggle against life-giving deities.
  • E. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8b787881909be9c01d1ba52561 completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff76290c819099a08cd1d5397004 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.