Triple

T4626823
Position Surface form Disambiguated ID Type / Status
Subject Crisa E101116 entity
Predicate hasAlternativeName P39 FINISHED
Object Krisa E101116 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: Krisa | Statement: [Crisa, hasAlternativeName, Krisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krisa
Context triple: [Crisa, hasAlternativeName, Krisa]
  • A. Crisa chosen
    Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
  • B. Kara
    Kara is a steel bracelet worn by Sikhs as a religious symbol of unity, restraint, and connection to the divine.
  • C. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • D. Kaja
    Kaja is a diminutive or nickname commonly used for the given name Katarina.
  • E. Crucita
    Crucita is a coastal town in Ecuador renowned for its beaches and paragliding, making it a popular seaside destination in Manabí Province.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaafa6108190bad95e2a7e5a2ff8 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:13 p.m.