Triple

T6623611
Position Surface form Disambiguated ID Type / Status
Subject Sonia Gandhi E149738 entity
Predicate placeOfBirth P1 FINISHED
Object Lusiana E134632 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: Lusiana | Statement: [Sonia Gandhi, placeOfBirth, Lusiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusiana
Context triple: [Sonia Gandhi, placeOfBirth, Lusiana]
  • A. Lusiana chosen
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • B. Matamela
    Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
  • C. Omaruru
    Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
  • D. Gcaleka
    Gcaleka is a prominent royal clan of the Xhosa people, historically associated with leadership and the Gcaleka sub-group in the Eastern Cape region of South Africa.
  • E. Lobatse
    Lobatse is a town in southeastern Botswana known as an early administrative and industrial center, located south of Gaborone near the South African border.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eee8740881908b4fafb12db6b7f3 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:58 p.m.