Triple

T2930157
Position Surface form Disambiguated ID Type / Status
Subject Castrocaro Terme e Terra del Sole E78940 entity
Predicate locatedNear P294 FINISHED
Object Forlì E78044 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: Forlì | Statement: [Castrocaro Terme e Terra del Sole, locatedNear, Forlì]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forlì
Context triple: [Castrocaro Terme e Terra del Sole, locatedNear, Forlì]
  • A. Forlì chosen
    Forlì is a historic city in Italy’s Emilia-Romagna region, known for its medieval architecture, Renaissance art, and role as a provincial capital.
  • B. Gubbio
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • C. Città di Castello
    Città di Castello is a historic town in the Umbria region of central Italy, known for its medieval architecture, Renaissance art, and location along the upper Tiber River.
  • D. Piacenza
    Piacenza is a historic city in northern Italy known for its strategic location near the Po River, rich medieval and Renaissance architecture, and strong agricultural and industrial traditions.
  • E. Forlì-Cesena
    Forlì-Cesena is a province in Italy’s Emilia-Romagna region, known for its mix of historic towns, agricultural landscapes, and growing industrial and service sectors.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad980191388190ac2455a7d9867be3 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b555ff48c48190865f0d588ec5d296 completed March 14, 2026, 12:35 p.m.
Created at: March 8, 2026, 2:55 p.m.