Triple

T14019884
Position Surface form Disambiguated ID Type / Status
Subject Dapperbuurt E337302 entity
Predicate knownFor P22 FINISHED
Object Dappermarkt E337306 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: Dappermarkt | Statement: [Dapperbuurt, knownFor, Dappermarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dappermarkt
Context triple: [Dapperbuurt, knownFor, Dappermarkt]
  • A. Dappermarkt chosen
    Dappermarkt is a famous daily street market in Amsterdam known for its diverse food, clothing, and multicultural atmosphere.
  • B. La Ciudadela Market
    La Ciudadela Market is a famous traditional handicrafts market in Mexico City known for its wide variety of Mexican folk art, textiles, and souvenirs.
  • C. Marktsteft
    Marktsteft is a small town in the Lower Franconia region of Bavaria, Germany, situated on the Main River and known for its historic harbor and wine-growing surroundings.
  • D. Talebazar
    Talebazar is a village-level settlement located within Devgad taluka in the Sindhudurg district of Maharashtra, India.
  • E. Omicho Market
    Omicho Market is a historic and bustling fresh food market in Kanazawa, Japan, renowned for its seafood, local produce, and traditional atmosphere.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3c7cd88190b236382058581740 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb655bb34819097fe88ba76464be8 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:19 p.m.