Triple

T7738472
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 54 E175442 entity
Predicate hasStation P35 FINISHED
Object Nieuwmarkt E256497 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: Nieuwmarkt | Statement: [Amsterdam Metro line 54, hasStation, Nieuwmarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nieuwmarkt
Context triple: [Amsterdam Metro line 54, hasStation, Nieuwmarkt]
  • A. Nieuwmarkt chosen
    Nieuwmarkt is a historic square and lively neighborhood in central Amsterdam known for its markets, cafés, and the medieval Waag building.
  • B. Noordermarkt
    Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
  • C. Markt
    Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
  • D. Marktbreit
    Marktbreit is a small historic town in Bavaria, Germany, best known as the birthplace of psychiatrist and neuropathologist Alois Alzheimer.
  • E. Nieuwmarkt square
    Nieuwmarkt square is a historic public square in central Amsterdam known for its lively market, cafés, and the prominent medieval Waag building at its center.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035bcd94819080d5553e602e6c61 completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3db6a481909750c13f9141b84b completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.