Triple

T9563341
Position Surface form Disambiguated ID Type / Status
Subject Weesperplein metro station E230729 entity
Predicate serves P98 FINISHED
Object Weesperplein E208185 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: Weesperplein | Statement: [Weesperplein metro station, serves, Weesperplein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weesperplein
Context triple: [Weesperplein metro station, serves, Weesperplein]
  • A. Weesperplein chosen
    Weesperplein is an underground metro station in central Amsterdam that serves as a key stop on multiple Amsterdam Metro lines.
  • B. 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.
  • C. Gelderlandplein
    Gelderlandplein is a major shopping center in Amsterdam’s Buitenveldert district, featuring a wide range of retail stores, restaurants, and services.
  • 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. Natieplein
    Natieplein is the Dutch name for Place de la Nation, a notable public square in Paris, France.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9968b8608190b3078fe5764f0a69 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16144be688190b7120c4f63dc94c3 completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 8:03 p.m.