Triple

T20243014
Position Surface form Disambiguated ID Type / Status
Subject Apollobuurt E498345 entity
Predicate nearby P350 FINISHED
Object Museumplein E32467 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: Museumplein | Statement: [Apollobuurt, nearby, Museumplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museumplein
Context triple: [Apollobuurt, nearby, Museumplein]
  • A. Museumplein chosen
    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.
  • B. Carnegieplein
    Carnegieplein is a square in The Hague, Netherlands, best known as the public space fronting the Peace Palace that houses major international judicial institutions.
  • C. Vandenpeereboomplein
    Vandenpeereboomplein is a central square in Ypres, Belgium, known for its historic surroundings and proximity to major landmarks such as St Martin's Cathedral.
  • 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. Gelderlandplein
    Gelderlandplein is a major shopping center in Amsterdam’s Buitenveldert district, featuring a wide range of retail stores, restaurants, and services.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716f9d248190a145f6883827ebbe completed April 20, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b9607b48190bc9c68c4e9b8f9b8 completed May 16, 2026, 10:48 a.m.
Created at: April 11, 2026, 11:40 p.m.