Triple

T12805000
Position Surface form Disambiguated ID Type / Status
Subject LR Vicenza E306121 entity
Predicate nickName P2937 FINISHED
Object Lanieri
Lanieri is the nickname of Italian football club LR Vicenza, traditionally associated with the textile industry of the Vicenza area.
E1004648 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: Lanieri | Statement: [LR Vicenza, nickName, Lanieri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanieri
Context triple: [LR Vicenza, nickName, Lanieri]
  • A. Lovero
    Lovero is an Italian-origin surname borne by various individuals, including American politician Robert J. Lovero.
  • B. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • C. Monghidoro
    Monghidoro is a small Italian town in the Emilia-Romagna region, known for its Apennine mountain setting and traditional local cuisine.
  • D. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • E. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • 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: Lanieri
Triple: [LR Vicenza, nickName, Lanieri]
Generated description
Lanieri is the nickname of Italian football club LR Vicenza, traditionally associated with the textile industry of the Vicenza area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lanieri
Target entity description: Lanieri is the nickname of Italian football club LR Vicenza, traditionally associated with the textile industry of the Vicenza area.
  • A. Lovero
    Lovero is an Italian-origin surname borne by various individuals, including American politician Robert J. Lovero.
  • B. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • C. Monghidoro
    Monghidoro is a small Italian town in the Emilia-Romagna region, known for its Apennine mountain setting and traditional local cuisine.
  • D. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • E. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec463f08190822e5235362cf584 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:30 p.m.