Triple

T12865265
Position Surface form Disambiguated ID Type / Status
Subject Market Square (Markt) E307702 entity
Predicate hasNameInLanguage P15 FINISHED
Object Markt (Dutch) E215712 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: Markt (Dutch) | Statement: [Market Square (Markt), hasNameInLanguage, Markt (Dutch)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markt (Dutch)
Context triple: [Market Square (Markt), hasNameInLanguage, Markt (Dutch)]
  • A. Noordermarkt
    Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
  • B. Waterlooplein market
    Waterlooplein market is a famous daily flea market in central Amsterdam known for its vintage clothes, antiques, and eclectic second-hand goods.
  • C. Lindengracht market
    Lindengracht market is a popular weekly street market in Amsterdam’s Jordaan neighborhood, known for its mix of fresh produce, specialty foods, and local goods.
  • D. Westermarkt (Dutch)
    Westermarkt is a square and street in the center of Amsterdam, Netherlands, located near the Westerkerk and the Anne Frank House.
  • E. Markt chosen
    Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708e0b788190b72a3057e271c227 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb092b88190b159f1d79156cf86 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.