Triple

T6142082
Position Surface form Disambiguated ID Type / Status
Subject Arno River E136984 entity
Predicate flowsThrough P225 FINISHED
Object Pontedera
Pontedera is a town in Tuscany, central Italy, known as an industrial center and the longtime home of the Piaggio (Vespa) manufacturing plant.
 E576981 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: Pontedera | Statement: [Arno River, flowsThrough, Pontedera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pontedera
Context triple: [Arno River, flowsThrough, Pontedera]
  • A. Viareggio
    Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
  • B. Lesignano
    Lesignano is a locality or subdivision within the municipality of Serravalle in San Marino.
  • C. Pistoia
    Pistoia is a historic Italian city known for its medieval architecture, vibrant cultural heritage, and location in the northern part of Tuscany.
  • D. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • E. La Spezia
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • 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: Pontedera
Triple: [Arno River, flowsThrough, Pontedera]
Generated description
Pontedera is a town in Tuscany, central Italy, known as an industrial center and the longtime home of the Piaggio (Vespa) manufacturing plant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pontedera
Target entity description: Pontedera is a town in Tuscany, central Italy, known as an industrial center and the longtime home of the Piaggio (Vespa) manufacturing plant.
  • A. Viareggio
    Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
  • B. Lesignano
    Lesignano is a locality or subdivision within the municipality of Serravalle in San Marino.
  • C. Pistoia
    Pistoia is a historic Italian city known for its medieval architecture, vibrant cultural heritage, and location in the northern part of Tuscany.
  • D. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • E. La Spezia
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb387ac8190a60579b59a741425 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d67cac0819088802d5a21654fe8 completed March 24, 2026, 4:04 a.m.
NEDg Description generation batch_69c2117655448190b50bf310f3aaaf13 completed March 24, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69c211e321188190ac5d20310e372134 completed March 24, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:16 p.m.