Triple

T18154777
Position Surface form Disambiguated ID Type / Status
Subject Campo Imperatore E434600 entity
Predicate near P350 FINISHED
Object L’Aquila NE NERFINISHED

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: L’Aquila | Statement: [Campo Imperatore, near, L’Aquila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L’Aquila
Context triple: [Campo Imperatore, near, L’Aquila]
  • A. L'Aquila chosen
    L'Aquila is a historic city in central Italy known for its medieval architecture and as the administrative and cultural center of the surrounding mountainous region.
  • B. D'Aquila
    D'Aquila is a character in Stephen Adly Guirgis's play "Jesus Hopped the 'A' Train," which explores themes of faith, justice, and morality within the prison system.
  • C. Teramo
    Teramo is a historic city in the Abruzzo region of central Italy, known for its Roman archaeological remains and medieval architecture.
  • D. 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.
  • E. Frosinone
    Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de3b5b788190b011c4eb96a71ffd completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:30 a.m.