Triple

T14557029
Position Surface form Disambiguated ID Type / Status
Subject Mantua railway station E341565 entity
Predicate connectsTo P845 FINISHED
Object Monselice E828835 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: Monselice | Statement: [Mantua railway station, connectsTo, Monselice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monselice
Context triple: [Mantua railway station, connectsTo, Monselice]
  • A. Monselice chosen
    Monselice is a historic town in Italy’s Veneto region, known for its medieval architecture, hilltop fortress, and scenic position near the Euganean Hills.
  • B. Tavagnacco
    Tavagnacco is a municipality in the Friuli-Venezia Giulia region of northeastern Italy, near Udine.
  • C. Grignone
    Grignone is the higher, more prominent summit of the Grigna massif in the Lombardy region of northern Italy, popular with hikers and climbers for its panoramic Alpine views.
  • D. San Vito al Tagliamento
    San Vito al Tagliamento is a historic town in the Friuli-Venezia Giulia region of northeastern Italy, known for its medieval architecture and role as a local cultural and economic center.
  • E. Sacile
    Sacile is a historic town in northeastern Italy’s Friuli Venezia Giulia region, known for its picturesque river setting and strategic importance in various military conflicts.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9124af481908f43e3b541568e26 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:23 a.m.