Triple

T3274895
Position Surface form Disambiguated ID Type / Status
Subject Province of Rieti E68735 entity
Predicate capital P234 FINISHED
Object Rieti E105211 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: Rieti | Statement: [Province of Rieti, capital, Rieti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rieti
Context triple: [Province of Rieti, capital, Rieti]
  • A. Rieti chosen
    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.
  • B. Teramo
    Teramo is a historic city in the Abruzzo region of central Italy, known for its Roman archaeological remains and medieval architecture.
  • C. Terni
    Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
  • D. Cesena
    Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
  • E. 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.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff8a440819092509bc8511b2785 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b73c409081909c583019d7ec1d4a completed March 14, 2026, 7:30 p.m.
Created at: March 8, 2026, 3:10 p.m.