Triple

T9384459
Position Surface form Disambiguated ID Type / Status
Subject Andrea Doria E225869 entity
Predicate birthPlace P1 FINISHED
Object Oneglia E528571 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: Oneglia | Statement: [Andrea Doria, birthPlace, Oneglia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oneglia
Context triple: [Andrea Doria, birthPlace, Oneglia]
  • A. Oneglia chosen
    Oneglia is a coastal district of the city of Imperia in the Liguria region of northwestern Italy, historically known as a port and olive oil center.
  • B. Miglieglia
    Miglieglia is a small municipality in the canton of Ticino in southern Switzerland, located in the Malcantone region near the Italian border.
  • C. Acquaviva
    Acquaviva is one of the nine municipalities of San Marino, located in the northwestern part of the country near the border with Italy.
  • D. Giave
    Giave is a small municipality in the historical Logudoro region of northern Sardinia, Italy.
  • E. Marettimo
    Marettimo is a rugged, sparsely populated Italian island in the Mediterranean Sea, known for its pristine waters, marine caves, and unspoiled natural landscapes.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50c23e7881908112597a1771afa5 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100e4fff08190abb4865004462841 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:44 p.m.