Triple

T14195977
Position Surface form Disambiguated ID Type / Status
Subject Italia Pennino E351835 entity
Predicate givenName P17 FINISHED
Object Italia E708032 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: Italia | Statement: [Italia Pennino, givenName, Italia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italia
Context triple: [Italia Pennino, givenName, Italia]
  • A. Italia chosen
    Italia is a feminine given name, often inspired by the country of Italy and used in various cultures.
  • B. 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.
  • C. Italy
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • D. Italy
    Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
  • E. Italeni
    Italeni is the site in present-day South Africa where a notable 1838 battle occurred between Voortrekker forces and Zulu warriors during the era of the Great Trek.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280aaa1c8190a957dfc2c624e3f6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:04 a.m.