Triple

T10025270
Position Surface form Disambiguated ID Type / Status
Subject Euganean Hills E200707 entity
Predicate contains P35 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: [Euganean Hills, contains, Monselice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monselice
Context triple: [Euganean Hills, contains, 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. 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.
  • E. Albignasego
    Albignasego is a municipality in the Veneto region of northern Italy, situated just south of the city of Padua.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7d9c9c81909a0a0917deed0973 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28222773c81908eb84974fd6ce106 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:53 p.m.