Triple

T14185324
Position Surface form Disambiguated ID Type / Status
Subject Gouda cheese museum E351559 entity
Predicate dedicatedTo P500 FINISHED
Object Gouda cheese E70496 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: Gouda cheese | Statement: [Gouda cheese museum, dedicatedTo, Gouda cheese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gouda cheese
Context triple: [Gouda cheese museum, dedicatedTo, Gouda cheese]
  • A. Gouda
    Gouda is a small town in South Africa’s Western Cape province, known for its rural setting amid farmlands and nearby mountain wilderness areas.
  • B. Gouda chosen
    Gouda is a historic Dutch city renowned worldwide for its namesake cheese, traditional cheese market, and well-preserved medieval architecture.
  • C. Edam cheese
    Edam cheese is a semi-hard Dutch cheese, traditionally sold in red wax-coated spheres, known for its mild, slightly nutty flavor and good keeping qualities.
  • D. Maasdam cheese
    Maasdam cheese is a Dutch semi-hard cow's milk cheese similar to Swiss Emmental, known for its large holes, sweet nutty flavor, and good melting properties.
  • E. Beemster cheese
    Beemster cheese is a traditional Dutch Gouda-style cheese known for its rich, nutty flavor and production from milk sourced in the Beemster polder region of the Netherlands.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4674da8881909dc6c1c8a36cf78e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:03 a.m.