Triple

T4092624
Position Surface form Disambiguated ID Type / Status
Subject Roccasecca E87737 entity
Predicate province P604 FINISHED
Object Frosinone E101395 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: Frosinone | Statement: [Roccasecca, province, Frosinone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frosinone
Context triple: [Roccasecca, province, Frosinone]
  • A. Frosinone chosen
    Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
  • B. Isernia
    Isernia is a historic town and provincial capital in the Molise region of southern-central Italy, known for its ancient Samnite and Roman roots.
  • C. Rieti
    Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
  • D. Lazio
    Lazio is a major professional football club based in Rome, Italy, known for competing in Serie A and for its passionate fan base and historic rivalry with AS Roma.
  • E. Lazio
    Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcae22a081908af65a960306b78c completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f1d1ab081909b7999e8feede458 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:40 p.m.