Triple

T14006834
Position Surface form Disambiguated ID Type / Status
Subject Via Severiana E336970 entity
Predicate passesThrough P225 FINISHED
Object Astura
Astura is an ancient coastal site in central Italy, known for its Roman ruins and medieval fortress near the Tyrrhenian Sea.
 E1074316 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: Astura | Statement: [Via Severiana, passesThrough, Astura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Astura
Context triple: [Via Severiana, passesThrough, Astura]
  • A. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • B. Daulida
    Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
  • C. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • D. Gradara
    Gradara is a medieval hilltop town in Italy’s Marche region, renowned for its well-preserved castle and association with the tragic love story of Paolo and Francesca.
  • E. Cadibona
    Cadibona is a small locality in the Liguria region of northwestern Italy, known as the settlement near the Colle di Cadibona pass that marks the traditional boundary between the Alps and the Apennines.
  • 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: Astura
Triple: [Via Severiana, passesThrough, Astura]
Generated description
Astura is an ancient coastal site in central Italy, known for its Roman ruins and medieval fortress near the Tyrrhenian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Astura
Target entity description: Astura is an ancient coastal site in central Italy, known for its Roman ruins and medieval fortress near the Tyrrhenian Sea.
  • A. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • B. Daulida
    Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
  • C. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • D. Gradara
    Gradara is a medieval hilltop town in Italy’s Marche region, renowned for its well-preserved castle and association with the tragic love story of Paolo and Francesca.
  • E. Cadibona
    Cadibona is a small locality in the Liguria region of northwestern Italy, known as the settlement near the Colle di Cadibona pass that marks the traditional boundary between the Alps and the Apennines.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed327d88190a53af5768468a8eb completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca5fb48819090fff1fd22e8a15c completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbadc6cb2c8190bdf66ad1fa6dd392 completed May 6, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69fbb01071408190a85e5e9be0150593 completed May 6, 2026, 9:18 p.m.
Created at: April 9, 2026, 10:19 p.m.