Triple

T6845274
Position Surface form Disambiguated ID Type / Status
Subject Province of Terni E157878 entity
Predicate contains P35 FINISHED
Object Acquasparta
Acquasparta is a historic town in the Umbria region of central Italy, known for its Renaissance architecture and thermal springs.
E623011 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: Acquasparta | Statement: [Province of Terni, contains, Acquasparta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acquasparta
Context triple: [Province of Terni, contains, Acquasparta]
  • A. Montegrotto Terme
    Montegrotto Terme is a spa town in northern Italy known for its thermal baths and archaeological remains from the ancient Venetic and Roman periods.
  • B. Sirmione
    Sirmione is a picturesque Italian resort town on a narrow peninsula in Lake Garda, renowned for its medieval Scaliger Castle, Roman ruins, and thermal spas.
  • C. Porretta Terme
    Porretta Terme is an Italian spa town in the Apennine mountains of Emilia-Romagna, renowned for its thermal springs and historic wellness tourism.
  • D. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • E. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • 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: Acquasparta
Triple: [Province of Terni, contains, Acquasparta]
Generated description
Acquasparta is a historic town in the Umbria region of central Italy, known for its Renaissance architecture and thermal springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Acquasparta
Target entity description: Acquasparta is a historic town in the Umbria region of central Italy, known for its Renaissance architecture and thermal springs.
  • A. Montegrotto Terme
    Montegrotto Terme is a spa town in northern Italy known for its thermal baths and archaeological remains from the ancient Venetic and Roman periods.
  • B. Sirmione
    Sirmione is a picturesque Italian resort town on a narrow peninsula in Lake Garda, renowned for its medieval Scaliger Castle, Roman ruins, and thermal spas.
  • C. Porretta Terme
    Porretta Terme is an Italian spa town in the Apennine mountains of Emilia-Romagna, renowned for its thermal springs and historic wellness tourism.
  • D. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • E. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ca96008190ba79563c2a9a9b0e completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc42e688190baa8413883e5506c completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c7304c0bac8190a9ece4e50ab49586 completed March 28, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c7310fa9bc8190bfb0a43890dc5e96 completed March 28, 2026, 1:38 a.m.
Created at: March 27, 2026, 2:19 p.m.