Triple

T14747786
Position Surface form Disambiguated ID Type / Status
Subject Royal Museums of Fine Arts of Belgium E346518 entity
Predicate abbreviation P43 FINISHED
Object MRBAB E346518 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: MRBAB | Statement: [Royal Museums of Fine Arts of Belgium, abbreviation, MRBAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRBAB
Context triple: [Royal Museums of Fine Arts of Belgium, abbreviation, MRBAB]
  • A. MRBAB chosen
    MRBAB is the commonly used abbreviation for the Royal Museums of Fine Arts of Belgium, a major group of art museums in Brussels renowned for their extensive collections of Belgian and international art.
  • 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. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • D. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • E. BM
    BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d116e88190828b163b18d80f68 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb982b5c8190a0340be2186f8b81 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.