Triple

T3298645
Position Surface form Disambiguated ID Type / Status
Subject Avio Aero E69276 entity
Predicate headquartersLocation P62 FINISHED
Object Rivalta di Torino
Rivalta di Torino is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
 E347516 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: Rivalta di Torino | Statement: [Avio Aero, headquartersLocation, Rivalta di Torino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rivalta di Torino
Context triple: [Avio Aero, headquartersLocation, Rivalta di Torino]
  • A. Torino Porta Susa
    Torino Porta Susa is a major high-speed and regional railway hub in Turin, Italy, serving as one of the city’s principal train stations.
  • B. Collegno
    Collegno is a municipality in the Metropolitan City of Turin in northern Italy, known as a residential and industrial suburb of Turin.
  • C. Colle di Tenda
    Colle di Tenda is a high mountain pass on the border between France and Italy that historically served as a key transalpine route through the Alps.
  • D. Pinerolo
    Pinerolo is a historic town in the Piedmont region of northwestern Italy, known for its former fortress-prison and its strategic location near the Alps.
  • E. Cuneo
    Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
  • 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: Rivalta di Torino
Triple: [Avio Aero, headquartersLocation, Rivalta di Torino]
Generated description
Rivalta di Torino is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rivalta di Torino
Target entity description: Rivalta di Torino is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
  • A. Torino Porta Susa
    Torino Porta Susa is a major high-speed and regional railway hub in Turin, Italy, serving as one of the city’s principal train stations.
  • B. Collegno
    Collegno is a municipality in the Metropolitan City of Turin in northern Italy, known as a residential and industrial suburb of Turin.
  • C. Colle di Tenda
    Colle di Tenda is a high mountain pass on the border between France and Italy that historically served as a key transalpine route through the Alps.
  • D. Pinerolo
    Pinerolo is a historic town in the Piedmont region of northwestern Italy, known for its former fortress-prison and its strategic location near the Alps.
  • E. Cuneo
    Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a49b748190b6db99a85c3cb3c5 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3d759908190b1f5170930ff03c5 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b2f9ec098c8190aaa763d7b9c5cceb completed March 12, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69b316408090819090a4792b3d5185f0 completed March 12, 2026, 7:38 p.m.
Created at: March 8, 2026, 3:10 p.m.