Triple

T3435962
Position Surface form Disambiguated ID Type / Status
Subject Seestraße E72451 entity
Predicate locatedIn P40 FINISHED
Object Wedding E71194 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: Wedding | Statement: [Seestraße, locatedIn, Wedding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wedding
Context triple: [Seestraße, locatedIn, Wedding]
  • A. Wedding chosen
    Wedding is a district in Berlin, Germany, known for its multicultural character and urban residential neighborhoods.
  • B. Royal Wedding
    Royal Wedding is a 1951 MGM musical film starring Fred Astaire, renowned for its innovative dance sequences including Astaire’s iconic ceiling-and-walls dance.
  • C. The Big Wedding
    The Big Wedding is a 2013 ensemble romantic comedy film about a long-divorced couple pretending to still be married for their family, featuring an all-star cast including Robert De Niro, Diane Keaton, and Robin Williams.
  • D. Delta Wedding
    Delta Wedding is a 1946 novel by Eudora Welty that portrays the intricate dynamics of a large Southern family in the Mississippi Delta during preparations for a cousin’s wedding.
  • E. A Wedding
    "A Wedding" is a 1978 ensemble comedy film directed by Robert Altman that satirically portrays the chaos and social dynamics surrounding an upper-class wedding.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f2e4b4819085336fb539daf3c7 completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373a531348190951041705eebba3d completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:16 p.m.