Triple

T349414
Position Surface form Disambiguated ID Type / Status
Subject Morocco E7408 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object MAR
MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
 E44871 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: MAR | Statement: [Morocco, ISO3166-1Alpha3, MAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAR
Context triple: [Morocco, ISO3166-1Alpha3, MAR]
  • A. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • B. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • C. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • D. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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: MAR
Triple: [Morocco, ISO3166-1Alpha3, MAR]
Generated description
MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAR
Target entity description: MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • A. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • B. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • C. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • D. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb1dc5f88190b54d084c6def7fc5 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd33a50c8190846d19c24eb74039 completed March 1, 2026, 6:31 a.m.
NEDg Description generation batch_69a3ddca8d3c8190b5baafe999a26b58 completed March 1, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69a3de7f9b28819099cfe7c55a8168f0 completed March 1, 2026, 6:36 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.