Triple

T6615759
Position Surface form Disambiguated ID Type / Status
Subject Province of Rome E149346 entity
Predicate contains P35 FINISHED
Object Pomezia E211294 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: Pomezia | Statement: [Province of Rome, contains, Pomezia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomezia
Context triple: [Province of Rome, contains, Pomezia]
  • A. Pomezia chosen
    Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
  • B. Toscolano-Maderno
    Toscolano-Maderno is a lakeside town on the western shore of Lake Garda in northern Italy, known for its historic paper mills, scenic waterfront, and surrounding natural beauty.
  • C. Monterotondo
    Monterotondo is a historic town in the Lazio region of central Italy, near Rome, known for its medieval heritage and ties to prominent noble families such as the Orsini.
  • D. Minturno
    Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
  • E. Viterbo
    Viterbo is a historic city in central Italy known for its well-preserved medieval center, ancient thermal baths, and role as a papal residence in the 13th century.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af57fd748190bb64f1965bab319f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006cf9e881908a7cb7a8209ed7d2 completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:57 p.m.