Triple

T12755005
Position Surface form Disambiguated ID Type / Status
Subject Trianon–MASP E304834 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Bela Vista E955172 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: Bela Vista | Statement: [Trianon–MASP, locatedInNeighborhood, Bela Vista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bela Vista
Context triple: [Trianon–MASP, locatedInNeighborhood, Bela Vista]
  • A. Bela Vista
    Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
  • B. Bela Vista chosen
    Bela Vista is a central São Paulo neighborhood known for its strong Italian heritage, vibrant cultural scene, and numerous restaurants and theaters.
  • C. Bella Vista
    Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
  • D. Bella Vista
    Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
  • E. Belle Vista
    Belle Vista is an alternate name for Lambert Castle, a historic 19th-century mansion and museum located in Paterson, New Jersey.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9aa6308190bfcb1511a561c0f9 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.