Triple

T7903073
Position Surface form Disambiguated ID Type / Status
Subject Waterlooplein market E183502 entity
Predicate near P350 FINISHED
Object Stopera E28670 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: Stopera | Statement: [Waterlooplein market, near, Stopera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stopera
Context triple: [Waterlooplein market, near, Stopera]
  • A. Stopera chosen
    Stopera is a prominent complex in central Amsterdam that houses both the city hall and the Dutch National Opera & Ballet.
  • B. Krolloper
    Krolloper was a historic Berlin theater and opera house known for its innovative productions and its role as the meeting place of the Reichstag during the Weimar Republic.
  • C. Ringmaster
    "Ringmaster" is a 1998 comedy film starring Jerry Springer as a fictionalized version of himself hosting an outrageous tabloid talk show.
  • D. Broadway Bill
    Broadway Bill is a 1934 American comedy film, co-written by Robert Riskin and Frank Capra, about a businessman who risks everything to race his beloved horse.
  • E. Galas
    Galas is a prestigious showcase section of the London Film Festival featuring high-profile premieres and red-carpet screenings.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a41b0fc81909890f2e4f432a5cf completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfd2dbbc8190b7b1e45b7f0b7515 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:02 p.m.