Triple

T449388
Position Surface form Disambiguated ID Type / Status
Subject Macau E7092 entity
Predicate iso3166Code P189 FINISHED
Object MO
MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
 E56571 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: MO | Statement: [Macau, iso3166Code, MO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MO
Context triple: [Macau, iso3166Code, MO]
  • A. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • B. Missouri
    Missouri is a U.S. state in the Midwest known for its major cities like St. Louis and Kansas City, its role as a historic gateway to the American West, and its diverse mix of agricultural and industrial economies.
  • C. Iowa
    Iowa is a Midwestern U.S. state known for its extensive agriculture, especially corn and soybean production, and its role in national politics through the Iowa caucuses.
  • D. Minnesota
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • E. Ohio
    Ohio is a Midwestern U.S. state known for its diverse economy, major cities like Columbus, Cleveland, and Cincinnati, and its significant role in national politics as a historic swing state.
  • 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: MO
Triple: [Macau, iso3166Code, MO]
Generated description
MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MO
Target entity description: MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
  • A. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • B. Missouri
    Missouri is a U.S. state in the Midwest known for its major cities like St. Louis and Kansas City, its role as a historic gateway to the American West, and its diverse mix of agricultural and industrial economies.
  • C. Iowa
    Iowa is a Midwestern U.S. state known for its extensive agriculture, especially corn and soybean production, and its role in national politics through the Iowa caucuses.
  • D. Minnesota
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • E. Ohio
    Ohio is a Midwestern U.S. state known for its diverse economy, major cities like Columbus, Cleveland, and Cincinnati, and its significant role in national politics as a historic swing state.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef6755a08190a057e72279b70456 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447ff88c0819091062bfcdc09f7c1 completed March 1, 2026, 2:06 p.m.
NEDg Description generation batch_69a448814bb48190821c12fad63cc904 completed March 1, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69a448e45d248190a50fee4e2aefcaf5 completed March 1, 2026, 2:10 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.