Triple

T6247620
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam tram line 2 E139759 entity
Predicate passesThrough P225 FINISHED
Object Leidseplein E141129 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: Leidseplein | Statement: [Amsterdam tram line 2, passesThrough, Leidseplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leidseplein
Context triple: [Amsterdam tram line 2, passesThrough, Leidseplein]
  • A. Leidseplein chosen
    Leidseplein is a lively square in central Amsterdam known for its theaters, nightlife, street performers, and numerous cafés and restaurants.
  • B. Luxemburgplein
    Luxemburgplein is a prominent square in Brussels, Belgium, located near the European Parliament and known as a hub for political and social gatherings.
  • C. Weesperplein
    Weesperplein is an underground metro station in central Amsterdam that serves as a key stop on multiple Amsterdam Metro lines.
  • D. 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.
  • E. Molengracht Plaza
    Molengracht Plaza is a Dutch-inspired town square and commercial district in Pella, Iowa, featuring canals, shops, and community gathering spaces.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631f511c81908d413320efdce42e completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5191599d0819098a1b20b9d680f4b completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:23 p.m.