Triple

T3242268
Position Surface form Disambiguated ID Type / Status
Subject Province of Frosinone E67988 entity
Predicate contains P35 FINISHED
Object Fiuggi
Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
 E346294 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: Fiuggi | Statement: [Province of Frosinone, contains, Fiuggi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fiuggi
Context triple: [Province of Frosinone, contains, Fiuggi]
  • A. Gubbio
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • B. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • C. Pisae
    Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
  • D. Fusignano
    Fusignano is a small town in the Emilia-Romagna region of northern Italy, historically noted as the birthplace of Baroque composer Arcangelo Corelli.
  • E. Norcia
    Norcia is a historic town in central Italy renowned for its medieval architecture, monastic heritage, and traditional cured meats.
  • 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: Fiuggi
Triple: [Province of Frosinone, contains, Fiuggi]
Generated description
Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fiuggi
Target entity description: Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
  • A. Gubbio
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • B. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • C. Pisae
    Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
  • D. Fusignano
    Fusignano is a small town in the Emilia-Romagna region of northern Italy, historically noted as the birthplace of Baroque composer Arcangelo Corelli.
  • E. Norcia
    Norcia is a historic town in central Italy renowned for its medieval architecture, monastic heritage, and traditional cured meats.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf17463481909447f6ab46016407 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3be35388190bbd1a296d7b1b3fa completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b2fa0ed27c8190a32c153b44b7b2dd completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b312b273b48190a949e61b87722084 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:08 p.m.