Triple

T8651428
Position Surface form Disambiguated ID Type / Status
Subject Province of Vicenza E205107 entity
Predicate contains P35 FINISHED
Object Arzignano
Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
E775025 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: Arzignano | Statement: [Province of Vicenza, contains, Arzignano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arzignano
Context triple: [Province of Vicenza, contains, Arzignano]
  • A. Bussolengo
    Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
  • B. Alpignano
    Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
  • C. Caldogno
    Caldogno is a small town in the Veneto region of northern Italy, best known as the birthplace of legendary footballer Roberto Baggio.
  • D. Arquà
    Arquà is a historic village in northern Italy, renowned as the final home and burial place of the poet Francesco Petrarca.
  • E. Montecchio
    Montecchio is a small Italian town in the Umbria region known for its medieval architecture and scenic hilltop setting.
  • 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: Arzignano
Triple: [Province of Vicenza, contains, Arzignano]
Generated description
Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arzignano
Target entity description: Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
  • A. Bussolengo
    Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
  • B. Alpignano
    Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
  • C. Caldogno
    Caldogno is a small town in the Veneto region of northern Italy, best known as the birthplace of legendary footballer Roberto Baggio.
  • D. Arquà
    Arquà is a historic village in northern Italy, renowned as the final home and burial place of the poet Francesco Petrarca.
  • E. Montecchio
    Montecchio is a small Italian town in the Umbria region known for its medieval architecture and scenic hilltop setting.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfeae6b0b08190beb13109ba589d81 completed April 3, 2026, 4:29 p.m.
NEDg Description generation batch_69cfec2bde708190b73c7672625e912d completed April 3, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69cfee809b54819089d4d0d5c555e428 completed April 3, 2026, 4:44 p.m.
Created at: March 30, 2026, 6:29 p.m.