Triple

T2196600
Position Surface form Disambiguated ID Type / Status
Subject Government Seal of Japan E49988 entity
Predicate emblemType P1617 FINISHED
Object mon
A mon is a traditional Japanese heraldic emblem used to represent individuals, families, clans, or institutions.
 E243538 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: mon | Statement: [Government Seal of Japan, emblemType, mon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: mon
Context triple: [Government Seal of Japan, emblemType, mon]
  • A. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • B. Mon
    Mon is a town in the northeastern Indian state of Nagaland, known as the headquarters of Mon district and as a cultural center of the Konyak Naga tribe.
  • C. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • D. MON
    MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • E. Muanda
    Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
  • 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: mon
Triple: [Government Seal of Japan, emblemType, mon]
Generated description
A mon is a traditional Japanese heraldic emblem used to represent individuals, families, clans, or institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: mon
Target entity description: A mon is a traditional Japanese heraldic emblem used to represent individuals, families, clans, or institutions.
  • A. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • B. Mon
    Mon is a town in the northeastern Indian state of Nagaland, known as the headquarters of Mon district and as a cultural center of the Konyak Naga tribe.
  • C. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • D. MON
    MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • E. Muanda
    Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf77e4f08190a1f5ea601d306596 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db7af9881908348ce1ad35f247a completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae61901ae481908b03844aa300cc33 completed March 9, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69ae620812848190814c4c614e8834d1 completed March 9, 2026, 6 a.m.
Created at: March 4, 2026, 7:46 p.m.