Triple

T16448548
Position Surface form Disambiguated ID Type / Status
Subject Val Venosta E399493 entity
Predicate contains P35 FINISHED
Object Glorenza E1214500 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: Glorenza | Statement: [Val Venosta, contains, Glorenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glorenza
Context triple: [Val Venosta, contains, Glorenza]
  • A. Glorenza chosen
    Glorenza is a small, well-preserved medieval walled town in South Tyrol, northern Italy, known for its intact city walls and historic charm.
  • B. Pragelato
    Pragelato is an Italian alpine village in the Piedmont region, known as a winter sports destination and former Olympic venue within the Via Lattea ski area.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Giarratana
    Giarratana is a small town in southeastern Sicily, Italy, known for its traditional agriculture and historic Baroque-influenced architecture.
  • E. Moraro
    Moraro is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005815efc48190868305f428cb9085 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.