Triple

T14034919
Position Surface form Disambiguated ID Type / Status
Subject Priverno E337685 entity
Predicate hasDemonym P191 FINISHED
Object Privernati
Privernati are the inhabitants or natives of Priverno, a town in the Lazio region of central Italy.
E773434 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: Privernati | Statement: [Priverno, hasDemonym, Privernati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Privernati
Context triple: [Priverno, hasDemonym, Privernati]
  • A. Ager Privernas
    Ager Privernas was an ancient rural district in southern Latium associated with the Roman town of Privernum, known for its agricultural lands and integration into the Roman territorial system.
  • B. Capua
    Capua is an ancient city in southern Italy that was a prominent center of the Oscan-speaking Samnites and later an important Roman ally and urban hub.
  • C. Alba Longa
    Alba Longa was an ancient Latin city in central Italy, traditionally regarded as the mother city of Rome and the seat of the Alban kings.
  • D. Ostia
    Ostia was the principal harbor city of ancient Rome, serving as a major commercial and military port at the mouth of the Tiber River.
  • E. Tarquinia
    Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
  • 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: Privernati
Triple: [Priverno, hasDemonym, Privernati]
Generated description
Privernati are the inhabitants or natives of Priverno, a town in the Lazio region of central Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Privernati
Target entity description: Privernati are the inhabitants or natives of Priverno, a town in the Lazio region of central Italy.
  • A. Ager Privernas chosen
    Ager Privernas was an ancient rural district in southern Latium associated with the Roman town of Privernum, known for its agricultural lands and integration into the Roman territorial system.
  • B. Capua
    Capua is an ancient city in southern Italy that was a prominent center of the Oscan-speaking Samnites and later an important Roman ally and urban hub.
  • C. Alba Longa
    Alba Longa was an ancient Latin city in central Italy, traditionally regarded as the mother city of Rome and the seat of the Alban kings.
  • D. Ostia
    Ostia was the principal harbor city of ancient Rome, serving as a major commercial and military port at the mouth of the Tiber River.
  • E. Tarquinia
    Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fac71188190a586049405f1071e completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd192ee1ac81908663ebd2e06784f1 completed May 7, 2026, 10:58 p.m.
NEDg Description generation batch_69fd2315cf6881908fc83b273c966cae completed May 7, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_69fd238d6a7c8190980388e9027e3a72 completed May 7, 2026, 11:43 p.m.
Created at: April 9, 2026, 10:20 p.m.