Triple

T8795621
Position Surface form Disambiguated ID Type / Status
Subject Praça Mauá E209281 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Museu do Amanhã E39162 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: Museu do Amanhã | Statement: [Praça Mauá, hasNearbyAttraction, Museu do Amanhã]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museu do Amanhã
Context triple: [Praça Mauá, hasNearbyAttraction, Museu do Amanhã]
  • A. Museum of Tomorrow chosen
    The Museum of Tomorrow is a science and technology museum in Rio de Janeiro known for its futuristic architecture and interactive exhibits on sustainability and the future of humanity.
  • B. Museum of Us
    The Museum of Us is an anthropology and cultural history museum in San Diego that explores human experiences, beliefs, and diversity across time and cultures.
  • C. The Museum
    The Museum is an art exhibition space within Tokyo’s Bunkamura cultural complex, known for hosting a wide range of domestic and international art shows.
  • D. Museum of Jurassic Technology
    The Museum of Jurassic Technology is an eccentric, artful museum in Culver City known for its surreal, pseudo-scientific exhibits that blur the line between fact and fiction.
  • E. Muzeum
    Muzeum is a major interchange station in the Prague Metro system, located beneath Wenceslas Square and serving as a key hub for lines A and C.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa24ca08190a7738a7f1c446456 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.