Triple

T13766203
Position Surface form Disambiguated ID Type / Status
Subject Province of Ascoli Piceno E330748 entity
Predicate contains P35 FINISHED
Object Cossignano E493189 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: Cossignano | Statement: [Province of Ascoli Piceno, contains, Cossignano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cossignano
Context triple: [Province of Ascoli Piceno, contains, Cossignano]
  • A. Cossignano chosen
    Cossignano is a small historic town in Italy’s Marche region, known for its medieval architecture and scenic hilltop setting.
  • B. Corsignano
    Corsignano is the former name of the Tuscan village later rebuilt and renamed Pienza, best known as the birthplace of Pope Pius II.
  • C. Vetralla
    Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
  • D. Cotignola
    Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
  • E. Poggiardo
    Poggiardo is a small town in the Apulia region of southern Italy, known for its archaeological sites and traditional Salento culture.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c20e45c8190968a5d88a2b3fe37 completed May 8, 2026, 2:36 a.m.
Created at: April 9, 2026, 10:10 p.m.