Triple

T2826542
Position Surface form Disambiguated ID Type / Status
Subject Mano River Union E54935 entity
Predicate abbreviation P43 FINISHED
Object MRU
MRU is the abbreviation for the Mano River Union, a regional organization that promotes economic cooperation and integration among West African countries along the Mano River.
 E301522 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: MRU | Statement: [Mano River Union, abbreviation, MRU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MRU
Context triple: [Mano River Union, abbreviation, MRU]
  • A. MRU
    MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
  • B. MRIA
    MRIA is the post-nominal title indicating membership of the Royal Irish Academy, an all-Ireland body of distinguished scholars and scientists.
  • C. 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.
  • D. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • E. CMR
    CMR is the commonly used abbreviation for the Code of Massachusetts Regulations, the official compilation of administrative rules and regulations issued by Massachusetts state agencies.
  • 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: MRU
Triple: [Mano River Union, abbreviation, MRU]
Generated description
MRU is the abbreviation for the Mano River Union, a regional organization that promotes economic cooperation and integration among West African countries along the Mano River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MRU
Target entity description: MRU is the abbreviation for the Mano River Union, a regional organization that promotes economic cooperation and integration among West African countries along the Mano River.
  • A. MRU
    MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
  • B. MRIA
    MRIA is the post-nominal title indicating membership of the Royal Irish Academy, an all-Ireland body of distinguished scholars and scientists.
  • C. 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.
  • D. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • E. CMR
    CMR is the three-letter FIFA country code used to represent the Cameroon national football team in international competitions and rankings.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde94ba848190b2c990936e07e6bb completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb20c508190ba87e102ba250a00 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf8b032c8190b5fe0777bb0283ee completed March 10, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69afcfe8a140819095daa37d539e4c72 completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 9:59 p.m.