Triple

T18579499
Position Surface form Disambiguated ID Type / Status
Subject Piacenza railway station E454072 entity
Predicate serves P98 FINISHED
Object city of Piacenza 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: city of Piacenza | Statement: [Piacenza railway station, serves, city of Piacenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Piacenza
Context triple: [Piacenza railway station, serves, city of Piacenza]
  • A. Piacenza chosen
    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.
  • B. Scandiano
    Scandiano is a town in the Emilia-Romagna region of northern Italy, known as the birthplace of prominent Italian politician Romano Prodi.
  • C. Pavia
    Pavia is a historic city in northern Italy, known for its ancient university, medieval architecture, and significant role in Lombardy’s cultural and academic life.
  • D. Pavia
    Pavia is a municipality in the Philippine province of Iloilo known for its suburban character and proximity to Iloilo City.
  • E. Pisae
    Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543ce63188190b14a37c5ca9c2726 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.