Triple

T14034789
Position Surface form Disambiguated ID Type / Status
Subject Sezze E337682 entity
Predicate sharesBorderWith P224 FINISHED
Object Roccagorga E343086 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: Roccagorga | Statement: [Sezze, sharesBorderWith, Roccagorga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roccagorga
Context triple: [Sezze, sharesBorderWith, Roccagorga]
  • A. Roccagorga chosen
    Roccagorga is a small Italian town and comune in the Lazio region, known for its historic hilltop setting and traditional rural character.
  • B. Ginosa
    Ginosa is a town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian coast.
  • C. Partinico
    Partinico is a town in the Metropolitan City of Palermo in Sicily, Italy, known for its agricultural production and traditional Sicilian character.
  • D. Figari
    Figari is a small commune in southern Corsica, France, known for its coastal landscapes, vineyards, and role as a regional transport hub.
  • E. Cataldo
    Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fac71188190a586049405f1071e completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd097814081909835aeed46aa4a59 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.