Triple

T1879731
Position Surface form Disambiguated ID Type / Status
Subject Lapa Arches E39824 entity
Predicate crosses P416 FINISHED
Object Lapa district E42819 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: Lapa district | Statement: [Lapa Arches, crosses, Lapa district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapa district
Context triple: [Lapa Arches, crosses, Lapa district]
  • A. Lapa chosen
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • B. Tupe District
    Tupe District is a small Andean district in Peru notable for preserving the indigenous Jaqaru language and traditional highland culture.
  • C. Nam District
    Nam District is an administrative district (gu) of the metropolitan city of Busan in South Korea, known for its coastal location and urban residential areas.
  • D. Kasa District
    Kasa District was a former rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and villages before being dissolved through municipal mergers.
  • E. Kaliua District
    Kaliua District is an administrative district located in western Tanzania, within the country’s Tabora Region.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fa3d388190993073ffb0f60a84 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf59a5b48190bb4b47641681ebb7 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.