Triple

T19795
Position Surface form Disambiguated ID Type / Status
Subject Academy of Sciences for the Developing World E394 entity
Predicate country P26 FINISHED
Object Italy E863 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: Italy | Statement: [Academy of Sciences for the Developing World, country, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italy
Context triple: [Academy of Sciences for the Developing World, country, Italy]
  • A. Italy chosen
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • B. Sicily
    Sicily is the largest island in the Mediterranean Sea, known for its rich ancient history, distinctive culture, and strategic location at the crossroads of Europe and North Africa.
  • C. Austria
    Austria is a landlocked Central European country known for its Alpine landscapes, rich cultural and musical heritage, and status as a prosperous, democratic member of the European Union.
  • D. Malta
    Malta is a small island nation in the central Mediterranean known for its rich history, strategic location, and membership in the European Union.
  • E. Albania
    Albania is a Balkan country in Southeastern Europe known for its mountainous landscapes, Adriatic and Ionian coastlines, and a history shaped by Ottoman rule, communism, and post–Cold War transition.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a24669427481908b3369f090ea8edc completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a284f6d1a88190b5e0adeb36cce8cd completed Feb. 28, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.