Triple

T5343184
Position Surface form Disambiguated ID Type / Status
Subject The Tourist E123989 entity
Predicate filmingLocation P40 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: [The Tourist, filmingLocation, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italy
Context triple: [The Tourist, filmingLocation, 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. Italy
    Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85e86edc81908d87933db6489f91 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188988688190b4b08b5e0cda8cf5 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 2:01 p.m.