Triple

T5145950
Position Surface form Disambiguated ID Type / Status
Subject Perugia railway station E116069 entity
Predicate connectsTo P845 FINISHED
Object Terontola
Terontola is a locality in central Italy known for its railway junction, which serves as an important connection point on regional and national train routes.
 E497727 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: Terontola | Statement: [Perugia railway station, connectsTo, Terontola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terontola
Context triple: [Perugia railway station, connectsTo, Terontola]
  • A. Ratoma
    Ratoma is a major urban district of Conakry, the capital city of Guinea.
  • B. Tebuange
    Tebuange is a small village settlement located on the island of Nonouti in Kiribati, likely characterized by a traditional Pacific island community and subsistence lifestyle.
  • C. Tilantongo
    Tilantongo was a prominent pre-Columbian Mixtec city-state in present-day Oaxaca, Mexico, known as a political and cultural hub of the Mixtec civilization.
  • D. Buota
    Buota is a village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • E. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • 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: Terontola
Triple: [Perugia railway station, connectsTo, Terontola]
Generated description
Terontola is a locality in central Italy known for its railway junction, which serves as an important connection point on regional and national train routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terontola
Target entity description: Terontola is a locality in central Italy known for its railway junction, which serves as an important connection point on regional and national train routes.
  • A. Ratoma
    Ratoma is a major urban district of Conakry, the capital city of Guinea.
  • B. Tebuange
    Tebuange is a small village settlement located on the island of Nonouti in Kiribati, likely characterized by a traditional Pacific island community and subsistence lifestyle.
  • C. Tilantongo
    Tilantongo was a prominent pre-Columbian Mixtec city-state in present-day Oaxaca, Mexico, known as a political and cultural hub of the Mixtec civilization.
  • D. Buota
    Buota is a village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • E. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78ac677881909ce8632f1a8af880 completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becff590ec81908ed03474f21a95f5 completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed254037c8190b1487b12425f8abe completed March 21, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_69bed2be57108190bc3e758c34ffc34f completed March 21, 2026, 5:17 p.m.
Created at: March 20, 2026, 1:43 p.m.