Triple

T5796487
Position Surface form Disambiguated ID Type / Status
Subject Deposition by Raphael E128519 entity
Predicate currentCountry P17888 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: [Deposition by Raphael, currentCountry, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italy
Context triple: [Deposition by Raphael, currentCountry, Italy]
  • A. Italy
    Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
  • B. 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.
  • C. Włochy
    Włochy is a district in the southwestern part of Warsaw, Poland, known for its mix of residential areas, industrial zones, and major transport infrastructure including the city’s main airport.
  • D. Italian Republic
    The Italian Republic is a Southern European nation on the Apennine Peninsula, known for its rich cultural heritage, influential history in art and politics, and status as a founding member of the European Union.
  • E. Italo
    Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a9304b081909ea004902f4ca569 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097d395fc8190be9020d1fdbc9936 completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:51 p.m.