Triple

T15611584
Position Surface form Disambiguated ID Type / Status
Subject Borgo Velino E375305 entity
Predicate hasProvince P285 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: [Borgo Velino, hasProvince, Rieti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rieti
Context triple: [Borgo Velino, hasProvince, 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. Osimo
    Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
  • C. Teramo
    Teramo is a historic city in the Abruzzo region of central Italy, known for its Roman archaeological remains and medieval architecture.
  • D. Chivasso
    Chivasso is a town and comune in the Piedmont region of northwestern Italy, situated near Turin along the Po River.
  • E. Schio
    Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfb725d48190bdca0a85ca7f440c completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 4:13 a.m.