Triple

T11763038
Position Surface form Disambiguated ID Type / Status
Subject KHM E279702 entity
Predicate hasCollection P426 FINISHED
Object Coin Cabinet E279696 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: Coin Cabinet | Statement: [KHM, hasCollection, Coin Cabinet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coin Cabinet
Context triple: [KHM, hasCollection, Coin Cabinet]
  • A. Coin Cabinet chosen
    The Coin Cabinet is the numismatic collection of Vienna’s Kunsthistorisches Museum, housing an extensive assemblage of coins, medals, and related monetary artifacts from various periods and regions.
  • B. Numismatic Cabinet
    The Numismatic Cabinet is a specialized collection within Teylers Museum that houses coins, medals, and related monetary artifacts of historical and artistic significance.
  • C. Coinsins
    Coinsins is a small municipality in the canton of Vaud in western Switzerland, situated near Lake Geneva in the district of Nyon.
  • D. Kassa
    Kassa is the historical Hungarian name for the city now known as Košice in eastern Slovakia.
  • E. Money Bin
    The Money Bin is Scrooge McDuck’s massive fortress-like vault filled with his vast fortune, prominently situated on a hill overlooking the fictional city of Duckburg in Disney’s Duck universe.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5248e0881909ed1b4df7be422f7 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a570ca88190ba2f3791c0e0ba60 completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.