Triple

T13553736
Position Surface form Disambiguated ID Type / Status
Subject Castelli Romani E323714 entity
Predicate hasTown P847 FINISHED
Object Albano Laziale E323717 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: Albano Laziale | Statement: [Castelli Romani, hasTown, Albano Laziale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albano Laziale
Context triple: [Castelli Romani, hasTown, Albano Laziale]
  • A. Albano Laziale chosen
    Albano Laziale is a historic town in Italy’s Alban Hills near Rome, known for its volcanic lake, archaeological sites, and role as a traditional summer retreat area.
  • B. Albano
    Albano is an Italian singer, actor, and winemaker best known as one half of the pop duo Al Bano and Romina Power.
  • C. Piedimonte Matese
    Piedimonte Matese is a town and municipality in the Campania region of southern Italy, situated near the Matese mountain range.
  • D. Monte Mario
    Monte Mario is the highest hill in Rome, known for its panoramic views over the city and the River Tiber.
  • E. Bracciano
    Bracciano is a historic town in the Lazio region of central Italy, known for its volcanic lake and the well-preserved Orsini-Odescalchi Castle.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff1c1f0819084352d9b2ee13d7a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.