Triple

T10124788
Position Surface form Disambiguated ID Type / Status
Subject Barentsz-plein E226182 entity
Predicate hasName P744 FINISHED
Object Barentsz-plein E841601 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: Barentsz-plein | Statement: [Barentsz-plein, hasName, Barentsz-plein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barentsz-plein
Context triple: [Barentsz-plein, hasName, Barentsz-plein]
  • A. Barentszplein chosen
    Barentszplein is a public square in Amsterdam, Netherlands, named after the Dutch explorer Willem Barentsz.
  • B. Natieplein
    Natieplein is the Dutch name for Place de la Nation, a notable public square in Paris, France.
  • C. 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.
  • D. Rembrandtplein
    Rembrandtplein is a lively central square in Amsterdam known for its vibrant nightlife, cafés, and statue of the painter Rembrandt van Rijn.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ebe4548190a484c145639d92f0 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5c29f6c8190b347a6963ca46dac completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:05 p.m.