Triple

T19613022
Position Surface form Disambiguated ID Type / Status
Subject Ala Littoria E470779 entity
Predicate route P5619 FINISHED
Object Rome–Munich
Rome–Munich was an international air route connecting the Italian capital Rome with the German city of Munich, historically operated by the Italian airline Ala Littoria.
 E1387154 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: Rome–Munich | Statement: [Ala Littoria, route, Rome–Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rome–Munich
Context triple: [Ala Littoria, route, Rome–Munich]
  • A. Vienna–Rome
    Vienna–Rome is an international overnight rail connection linking Austria’s capital with Italy’s capital, served by ÖBB’s Nightjet sleeper trains.
  • B. Vienna–Milan
    Vienna–Milan is an international rail route linking Austria’s capital with the major northern Italian city, commonly served by overnight sleeper trains.
  • C. Berlin–Rome route
    The Berlin–Rome route was an early long-distance commercial air service connecting the capitals of Germany and Italy in the interwar period.
  • D. Cologne–Munich
    Cologne–Munich is a major domestic air route in Germany connecting the cities of Cologne and Munich.
  • E. Berlin–Munich
    Berlin–Munich is a major high-speed rail corridor in Germany connecting the capital with Bavaria’s largest city.
  • 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: Rome–Munich
Triple: [Ala Littoria, route, Rome–Munich]
Generated description
Rome–Munich was an international air route connecting the Italian capital Rome with the German city of Munich, historically operated by the Italian airline Ala Littoria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rome–Munich
Target entity description: Rome–Munich was an international air route connecting the Italian capital Rome with the German city of Munich, historically operated by the Italian airline Ala Littoria.
  • A. Vienna–Rome
    Vienna–Rome is an international overnight rail connection linking Austria’s capital with Italy’s capital, served by ÖBB’s Nightjet sleeper trains.
  • B. Vienna–Milan
    Vienna–Milan is an international rail route linking Austria’s capital with the major northern Italian city, commonly served by overnight sleeper trains.
  • C. Berlin–Rome route
    The Berlin–Rome route was an early long-distance commercial air service connecting the capitals of Germany and Italy in the interwar period.
  • D. Cologne–Munich
    Cologne–Munich is a major domestic air route in Germany connecting the cities of Cologne and Munich.
  • E. Berlin–Munich
    Berlin–Munich is a major high-speed rail corridor in Germany connecting the capital with Bavaria’s largest city.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cd5de48190a9f7bab4da3f5b5a completed April 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771b2075481908c18e903421703cf completed May 15, 2026, 7:19 p.m.
NEDg Description generation batch_6a0772b3e6c88190b341479f838093f8 completed May 15, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a077334652c8190b044d444e3004f29 completed May 15, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:43 p.m.