Triple

T4630239
Position Surface form Disambiguated ID Type / Status
Subject Frosinone E101395 entity
Predicate partOf P40 FINISHED
Object Ciociaria E346295 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: Ciociaria | Statement: [Frosinone, partOf, Ciociaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciociaria
Context triple: [Frosinone, partOf, Ciociaria]
  • A. Ciociaria chosen
    Ciociaria is a historical and cultural region of central Italy, known for its rural traditions, distinctive dialect, and folk customs within the area around Frosinone in southern Lazio.
  • B. Molise
    Molise is a small, predominantly rural region in southern Italy known for its mountainous landscapes, traditional agriculture, and relatively low population density.
  • C. Basilicata
    Basilicata is a sparsely populated, mountainous region in southern Italy known for its ancient cave dwellings in Matera and its historic role within the broader area of Magna Graecia.
  • D. Maremma region
    The Maremma region is a coastal area of southwestern Tuscany and northern Lazio in Italy, known for its wild landscapes, medieval hill towns, and traditional agriculture.
  • E. Umbria
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a316ef48190831970ec914cf5a2 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba45b1a88190bb607182167060af completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:13 p.m.