Triple

T22110090
Position Surface form Disambiguated ID Type / Status
Subject Sikandar Raza E546389 entity
Predicate familyName P18 FINISHED
Object Raza 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: Raza | Statement: [Sikandar Raza, familyName, Raza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raza
Context triple: [Sikandar Raza, familyName, Raza]
  • A. Raza chosen
    Raza is a masculine given name commonly used in South Asian and Middle Eastern cultures, often of Arabic origin meaning "contentment" or "satisfaction."
  • B. Rassa
    Rassa is a small mountain municipality in the Piedmont region of northern Italy, situated in the Valsesia valley.
  • C. Alvier
    Alvier is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its scenic hiking routes and panoramic views.
  • D. Briosa
    Briosa is the popular nickname of Associação Académica de Coimbra’s football team, a historic Portuguese club closely linked to the University of Coimbra and its student culture.
  • E. Merceditas
    Merceditas is the affectionate nickname of Mercedes Tomasa de San Martín y Escalada, the daughter of Argentine independence leader General José de San Martín.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12948c2ec819083340787b2062649 completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:30 p.m.