Triple

T17549936
Position Surface form Disambiguated ID Type / Status
Subject Tiswadi taluka E427431 entity
Predicate contains P35 FINISHED
Object Dona Paula 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: Dona Paula | Statement: [Tiswadi taluka, contains, Dona Paula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dona Paula
Context triple: [Tiswadi taluka, contains, Dona Paula]
  • A. Dona Paula chosen
    Dona Paula is a popular coastal tourist destination near Panaji in Goa, India, known for its scenic sea views, romantic legends, and water sports.
  • B. Crispina
    Crispina is a vulnerable, mentally challenged young woman confined to a brutal Irish Magdalene asylum in the film "The Magdalene Sisters," symbolizing the systemic abuse and dehumanization inflicted on women there.
  • C. Doña Aurora
    Doña Aurora was the revered First Lady of the Philippines and a prominent humanitarian known for her advocacy of social welfare and women’s rights.
  • D. Doña Pulido
    Doña Pulido is a member of the Pulido family, likely a matriarchal or respected female figure bearing the traditional honorific "Doña."
  • E. Dona
    Dona is the nickname of Augusta Victoria of Schleswig-Holstein, the last German Empress and Queen of Prussia as the wife of Kaiser Wilhelm II.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45463ddf88190a2c29f3246adcb6e completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.