Triple

T20085731
Position Surface form Disambiguated ID Type / Status
Subject Babruvahana E500122 entity
Predicate rescuedBy P7320 FINISHED
Object Ulupi NE NERFINISHED

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: Ulupi | Statement: [Babruvahana, rescuedBy, Ulupi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulupi
Context triple: [Babruvahana, rescuedBy, Ulupi]
  • A. Ulupi chosen
    Ulupi is a Naga princess from the Indian epic Mahabharata, known for marrying the Pandava prince Arjuna and later reviving him with a boon.
  • B. Lapa Piagenti
    Lapa Piagenti was the mother of the 14th-century Italian mystic and saint Catherine of Siena.
  • C. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • D. Lapa
    Lapa is a municipality in the state of Paraná, Brazil, known for its historical architecture and role in the Federalist Revolution.
  • E. Upurui
    Upurui is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655ae9ec8190bde2f17452639de8 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.