Triple

T1209045
Position Surface form Disambiguated ID Type / Status
Subject Vijzelstraat E25955 entity
Predicate startsAt P12530 FINISHED
Object Muntplein E28240 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: Muntplein | Statement: [Vijzelstraat, startsAt, Muntplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muntplein
Context triple: [Vijzelstraat, startsAt, Muntplein]
  • A. Muntplein chosen
    Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
  • B. Museumplein
    Museumplein is a major public square and cultural hub in Amsterdam, known for housing several of the city's most important museums and hosting large events.
  • C. Leidseplein
    Leidseplein is a lively square in central Amsterdam known for its theaters, nightlife, street performers, and numerous cafés and restaurants.
  • D. Paleizenplein
    Paleizenplein is the prominent public square in central Brussels that fronts the Royal Palace and serves as a key ceremonial and urban landmark in the Belgian capital.
  • E. Koningsplein
    Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bde30ce08190ab60a181ad2d321d completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293648d08190a1c15fe677aa7b8c completed March 8, 2026, 7:45 a.m.
Created at: March 1, 2026, 7:46 p.m.