Triple

T10744857
Position Surface form Disambiguated ID Type / Status
Subject Province of Cosenza E253424 entity
Predicate contains P35 FINISHED
Object Lungro E229783 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: Lungro | Statement: [Province of Cosenza, contains, Lungro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lungro
Context triple: [Province of Cosenza, contains, Lungro]
  • A. Lungro chosen
    Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
  • B. Longu
    Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
  • C. Lambi
    Lambi is a small coastal village on the Faroe Islands, located on the island of Eysturoy.
  • D. Longiano
    Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
  • E. Longare
    Longare is a municipality in the Veneto region of northern Italy, situated near Vicenza in a landscape shaped by the Bacchiglione River and surrounding hills.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b6b4b48190bad08500fa963062 completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbdb0470a4819082c5eb1f43ee02e2 completed April 12, 2026, 5:48 p.m.
Created at: April 8, 2026, 9:15 p.m.