Triple

T4478802
Position Surface form Disambiguated ID Type / Status
Subject Pollica E100076 entity
Predicate hasFrazione P4207 FINISHED
Object Celso
Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
E443512 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: Celso | Statement: [Pollica, hasFrazione, Celso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celso
Context triple: [Pollica, hasFrazione, Celso]
  • A. Valeriano
    Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
  • B. Lucio
    Lucio is a popular support hero in the game Overwatch, known for his music-based abilities that heal and speed up teammates.
  • C. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • D. Antonino
    Antonino is the Italian given name of actor Giovanni Ribisi, whose full name is Antonino Giovanni Ribisi.
  • E. Horácio
    Horácio is the Portuguese form of the name Horace, historically associated with the Roman poet Quintus Horatius Flaccus.
  • 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: Celso
Triple: [Pollica, hasFrazione, Celso]
Generated description
Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Celso
Target entity description: Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
  • A. Valeriano
    Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
  • B. Lucio
    Lucio is a popular support hero in the game Overwatch, known for his music-based abilities that heal and speed up teammates.
  • C. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • D. Antonino
    Antonino is the Italian given name of actor Giovanni Ribisi, whose full name is Antonino Giovanni Ribisi.
  • E. Horácio
    Horácio is the Portuguese form of the name Horace, historically associated with the Roman poet Quintus Horatius Flaccus.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b357e4be748190b31aa83d6a8bee53 completed March 13, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63776ae008190a7668cddf1a42df3 completed March 15, 2026, 4:37 a.m.
NEDg Description generation batch_69b63823c30c8190af727acae00da9d3 completed March 15, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b638a398f88190bd0f041e9494aeba completed March 15, 2026, 4:42 a.m.
Created at: March 12, 2026, 11:35 p.m.