Triple

T20625582
Position Surface form Disambiguated ID Type / Status
Subject Giuseppe Antonio Doto E506808 entity
Predicate familyName P18 FINISHED
Object Doto 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: Doto | Statement: [Giuseppe Antonio Doto, familyName, Doto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doto
Context triple: [Giuseppe Antonio Doto, familyName, Doto]
  • A. Doto chosen
    Doto is a figure from Greek mythology, one of the Nereids (sea nymphs) associated with the Mediterranean Sea and the retinue of Poseidon.
  • B. Balantak
    Balantak is an Austronesian language of central Sulawesi, Indonesia, closely related to and often grouped with the Saluan language.
  • C. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • D. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • E. Matora
    Matora is a significant literary work by Slovak national revivalist Michal Miloslav Hodža, reflecting his cultural and linguistic efforts in the 19th century.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe490a08190b8fe49da78ebd6cc completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.