Triple

T9415005
Position Surface form Disambiguated ID Type / Status
Subject Van Baerlestraat E226996 entity
Predicate runsAlong P416 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: [Van Baerlestraat, runsAlong, Museumplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museumplein
Context triple: [Van Baerlestraat, runsAlong, 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. 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.
  • D. Gelderlandplein
    Gelderlandplein is a major shopping center in Amsterdam’s Buitenveldert district, featuring a wide range of retail stores, restaurants, and services.
  • E. Kennemerplein
    Kennemerplein is a public square in Haarlem, Netherlands, located directly in front of the city’s main railway station and serving as a key hub for local transit and pedestrian activity.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c7bd648190b17f082883c98239 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11026b8688190b958ca65dae2d588 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:47 p.m.