Triple

T14035024
Position Surface form Disambiguated ID Type / Status
Subject Cori E337688 entity
Predicate hasCityPart P12399 FINISHED
Object Giulianello
Giulianello is a small village and frazione of the municipality of Cori in the Lazio region of central Italy.
E1076840 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: Giulianello | Statement: [Cori, hasCityPart, Giulianello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giulianello
Context triple: [Cori, hasCityPart, Giulianello]
  • A. Giuli
    Giuli is a shortened or informal given name derived from the Italian name Giuliano.
  • B. Vannino
    Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
  • C. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • D. Crispiano
    Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
  • E. Rodi Garganico
    Rodi Garganico is a coastal town in southern Italy known for its beaches, citrus groves, and role as a tourist gateway to the Gargano area.
  • 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: Giulianello
Triple: [Cori, hasCityPart, Giulianello]
Generated description
Giulianello is a small village and frazione of the municipality of Cori in the Lazio region of central Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Giulianello
Target entity description: Giulianello is a small village and frazione of the municipality of Cori in the Lazio region of central Italy.
  • A. Giuli
    Giuli is a shortened or informal given name derived from the Italian name Giuliano.
  • B. Vannino
    Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
  • C. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • D. Crispiano
    Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
  • E. Rodi Garganico
    Rodi Garganico is a coastal town in southern Italy known for its beaches, citrus groves, and role as a tourist gateway to the Gargano area.
  • 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_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_69fbc339d53c8190a9cd7027a716ff5f completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc6888b648190866c77296625a4c4 completed May 6, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_69fbc6ead8cc8190b4ae3ba99dc52934 completed May 6, 2026, 10:55 p.m.
Created at: April 9, 2026, 10:20 p.m.