Triple

T16448493
Position Surface form Disambiguated ID Type / Status
Subject Prato allo Stelvio E399492 entity
Predicate bordersWith P224 FINISHED
Object Glorenza
Glorenza is a small, well-preserved medieval walled town in South Tyrol, northern Italy, known for its intact city walls and historic charm.
E1214500 NE FINISHED

How this triple was built (4 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: [Prato allo Stelvio, bordersWith, Glorenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glorenza
Context triple: [Prato allo Stelvio, bordersWith, Glorenza]
  • A. 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.
  • B. 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.
  • C. Giarratana
    Giarratana is a small town in southeastern Sicily, Italy, known for its traditional agriculture and historic Baroque-influenced architecture.
  • D. Moraro
    Moraro is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
  • E. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Glorenza
Triple: [Prato allo Stelvio, bordersWith, Glorenza]
Generated description
Glorenza is a small, well-preserved medieval walled town in South Tyrol, northern Italy, known for its intact city walls and historic charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Glorenza
Target entity description: Glorenza is a small, well-preserved medieval walled town in South Tyrol, northern Italy, known for its intact city walls and historic charm.
  • A. 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.
  • B. 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.
  • C. Giarratana
    Giarratana is a small town in southeastern Sicily, Italy, known for its traditional agriculture and historic Baroque-influenced architecture.
  • D. Moraro
    Moraro is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
  • E. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • F. None of above. chosen

Provenance (5 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_6a004f4b738881908f8a205466397f33 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050751be48190a76ab998b544ac5a completed May 10, 2026, 9:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0050d99f7c81909a5d5582294790f7 completed May 10, 2026, 9:33 a.m.
Created at: April 10, 2026, 5:10 a.m.