Triple

T22009992
Position Surface form Disambiguated ID Type / Status
Subject Caserta railway station E543549 entity
Predicate connectsTo P845 FINISHED
Object Benevento
Benevento is a historic city in Italy’s Campania region, known for its ancient Roman and Lombard heritage.
 E204110 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: Benevento | Statement: [Caserta railway station, connectsTo, Benevento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benevento
Context triple: [Caserta railway station, connectsTo, Benevento]
  • A. Beneventum
    Beneventum was an important ancient Roman city in southern Italy, strategically located as a key junction on major roads and known for its military and commercial significance.
  • B. Caserta
    Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
  • 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. Aversa
    Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
  • E. Minturno
    Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian 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: Benevento
Triple: [Caserta railway station, connectsTo, Benevento]
Generated description
Benevento is a historic city in Italy’s Campania region, known for its ancient Roman and Lombard heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benevento
Target entity description: Benevento is a historic city in Italy’s Campania region, known for its ancient Roman and Lombard heritage.
  • A. Beneventum chosen
    Beneventum was an important ancient Roman city in southern Italy, strategically located as a key junction on major roads and known for its military and commercial significance.
  • B. Caserta
    Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
  • 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. Aversa
    Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
  • E. Minturno
    Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
  • F. None of above.

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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a376048190a78ba7efd303b58a completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96e7ce3081908da0e3d60c3823f6 completed May 18, 2026, 4:34 a.m.
NEDg Description generation batch_6a0a977e9df08190a465d0005fccad4e completed May 18, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0a97f868188190a2b1286bc3751e54 completed May 18, 2026, 4:39 a.m.
Created at: April 16, 2026, 8:22 p.m.