Triple

T12117382
Position Surface form Disambiguated ID Type / Status
Subject Beaufort E288599 entity
Predicate countryCode P208 FINISHED
Object MY
MY is the ISO 3166-1 alpha-2 country code for Malaysia, a Southeast Asian nation known for its diverse culture and rapidly developing economy.
 E962636 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: MY | Statement: [Beaufort, countryCode, MY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MY
Context triple: [Beaufort, countryCode, MY]
  • A. MY
    MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
  • B. Mi
    Mi was the ancestral clan name of the royal house of the ancient Chinese state of Chu, to which King Zhuang of Chu belonged.
  • C. Mi
    Mi is a sub-brand of Xiaomi used primarily for its line of consumer electronics and smart devices, including smartphones, TVs, and streaming boxes.
  • D. MI
    MI is the official two-letter United States Postal Service abbreviation for the state of Michigan.
  • E. MI
    MI is the commonly used abbreviation for the Mumbai Indians, a prominent franchise cricket team in the Indian Premier League.
  • 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: MY
Triple: [Beaufort, countryCode, MY]
Generated description
MY is the ISO 3166-1 alpha-2 country code for Malaysia, a Southeast Asian nation known for its diverse culture and rapidly developing economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MY
Target entity description: MY is the ISO 3166-1 alpha-2 country code for Malaysia, a Southeast Asian nation known for its diverse culture and rapidly developing economy.
  • A. MY
    MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
  • B. Mi
    Mi was the ancestral clan name of the royal house of the ancient Chinese state of Chu, to which King Zhuang of Chu belonged.
  • C. Mi
    Mi is a sub-brand of Xiaomi used primarily for its line of consumer electronics and smart devices, including smartphones, TVs, and streaming boxes.
  • D. MI
    MI is the official two-letter United States Postal Service abbreviation for the state of Michigan.
  • E. MI
    MI is the commonly used abbreviation for the Mumbai Indians, a prominent franchise cricket team in the Indian Premier League.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f682397c819085a86a98e079660b completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdea1afc8190b39557fdc571e300 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeeeb2081908191b1c2d1c2fbfd completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:49 p.m.