Triple

T17134704
Position Surface form Disambiguated ID Type / Status
Subject Madonna del Ghisallo E415804 entity
Predicate hasRoadAccessFrom P22549 FINISHED
Object Erba E271830 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: Erba | Statement: [Madonna del Ghisallo, hasRoadAccessFrom, Erba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erba
Context triple: [Madonna del Ghisallo, hasRoadAccessFrom, Erba]
  • A. Erba chosen
    Erba is a town in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic surroundings and local industry.
  • B. Eneabba
    Eneabba is a small town in Western Australia known for its mineral sands mining and proximity to wildflower-rich heathlands.
  • C. Gubarra
    Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
  • D. Quibala
    Quibala is a town and municipality in western Angola known for its agricultural activities within Cuanza Sul Province.
  • E. Eusa
    Eusa is the Breton name for Ushant, an island off the western tip of Brittany in France known for its rugged coastline and maritime 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02dca8881908efd73741397a207 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014150d63081908a5614f85694e57a completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.