Triple

T14747798
Position Surface form Disambiguated ID Type / Status
Subject Koninklijke Musea voor Schone Kunsten van België E346518 entity
Predicate abbreviation P43 FINISHED
Object KMSKB E346519 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: KMSKB | Statement: [Koninklijke Musea voor Schone Kunsten van België, abbreviation, KMSKB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMSKB
Context triple: [Koninklijke Musea voor Schone Kunsten van België, abbreviation, KMSKB]
  • A. KMSKB chosen
    KMSKB is the commonly used abbreviation for the Royal Museums of Fine Arts of Belgium, a major art museum complex in Brussels renowned for its extensive collection of Belgian and European art.
  • B. KMSKA
    KMSKA is the Royal Museum of Fine Arts in Antwerp, renowned for its extensive collection of Flemish and Belgian art spanning several centuries.
  • C. KMS
    KMS is the Dutch abbreviation for the Royal Military Academy in Belgium, the institution responsible for training officers for the Belgian Armed Forces.
  • D. KMS
    KMS is the abbreviated name for Kiel Marine Science, an interdisciplinary marine research center based at Kiel University in Germany.
  • E. KMBS
    KMBS is the ICAO airport code for MBS International Airport, a commercial airport serving the Tri-Cities region of Michigan, USA.
  • 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.