Triple

T17847731
Position Surface form Disambiguated ID Type / Status
Subject Cap Corse E445707 entity
Predicate hasSettlement P1068 FINISHED
Object Nonza NE NERFINISHED

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: Nonza | Statement: [Cap Corse, hasSettlement, Nonza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nonza
Context triple: [Cap Corse, hasSettlement, Nonza]
  • A. Nonza chosen
    Nonza is a picturesque coastal village on the island of Corsica in France, known for its dramatic cliffside setting and distinctive black pebble beach.
  • B. Noia
    Noia is a historic coastal town and municipality in Galicia, northwestern Spain, known for its medieval architecture and traditional fishing heritage.
  • C. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • D. Redondela
    Redondela is a coastal town and municipality in the province of Pontevedra in Galicia, northwestern Spain, known for its historic viaducts and scenic Ría de Vigo shoreline.
  • E. Abasolo
    Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffc5fec8190adc66f7b0e264d5f completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.