Triple

T6980173
Position Surface form Disambiguated ID Type / Status
Subject Francesco Totti E161821 entity
Predicate youthClub P1088 FINISHED
Object Lodigiani
Lodigiani is a former Italian football club based in Rome, known for its strong youth academy that produced several notable players.
 E634253 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: Lodigiani | Statement: [Francesco Totti, youthClub, Lodigiani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lodigiani
Context triple: [Francesco Totti, youthClub, Lodigiani]
  • A. Lodigiano
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • B. Caudini
    The Caudini were an ancient Italic people forming one of the principal tribes of the Samnite confederation in southern Italy.
  • C. Fanzolo
    Fanzolo is a locality in the Veneto region of northern Italy, known for hosting the Renaissance-era Villa Emo designed by Andrea Palladio.
  • D. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • E. Poggiorsini
    Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
  • 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: Lodigiani
Triple: [Francesco Totti, youthClub, Lodigiani]
Generated description
Lodigiani is a former Italian football club based in Rome, known for its strong youth academy that produced several notable players.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lodigiani
Target entity description: Lodigiani is a former Italian football club based in Rome, known for its strong youth academy that produced several notable players.
  • A. Lodigiano
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • B. Caudini
    The Caudini were an ancient Italic people forming one of the principal tribes of the Samnite confederation in southern Italy.
  • C. Fanzolo
    Fanzolo is a locality in the Veneto region of northern Italy, known for hosting the Renaissance-era Villa Emo designed by Andrea Palladio.
  • D. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • E. Poggiorsini
    Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0e34288190ad2decbc18190c6b completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76b2c3ca481909df85ef915a91f10 completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76ba3f8ec8190af87316fc63b523e completed March 28, 2026, 5:48 a.m.
Created at: March 27, 2026, 2:31 p.m.