Triple

T16876889
Position Surface form Disambiguated ID Type / Status
Subject Mekong River Commission E421321 entity
Predicate shortName P43 FINISHED
Object MRC E421321 NE FINISHED

How this triple was built (2 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: MRC | Statement: [Mekong River Commission, shortName, MRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRC
Context triple: [Mekong River Commission, shortName, MRC]
  • A. MRC
    MRC is a research and education center at the University of Maryland focused on advancing robotics and autonomous systems.
  • B. MRC
    MRC is an American independent film and television studio known for producing and financing a wide range of acclaimed movies and TV series.
  • C. MRC
    MRC is a major UK organization that funds and supports medical research to improve human health.
  • D. MRC chosen
    MRC is an intergovernmental organization that coordinates sustainable development and management of the Mekong River basin among its member countries.
  • E. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f704a081909921d00b3c470472 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b4abd08190841c5bb0b0eaa177 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.