Triple

T1072884
Position Surface form Disambiguated ID Type / Status
Subject Tarnów E23368 entity
Predicate hasTwinTown P919 FINISHED
Object Montebelluna
Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
 E133263 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: Montebelluna | Statement: [Tarnów, hasTwinTown, Montebelluna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montebelluna
Context triple: [Tarnów, hasTwinTown, Montebelluna]
  • A. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • B. Grignano
    Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
  • C. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • D. Guastalla
    Guastalla is a historic town in northern Italy, notable for its ties to European nobility including serving as a residence of Pauline Bonaparte.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • 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: Montebelluna
Triple: [Tarnów, hasTwinTown, Montebelluna]
Generated description
Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montebelluna
Target entity description: Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
  • A. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • B. Grignano
    Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
  • C. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • D. Guastalla
    Guastalla is a historic town in northern Italy, notable for its ties to European nobility including serving as a residence of Pauline Bonaparte.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92afad88190b7705923f71fc760 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac662657008190895c5003e669d0bb completed March 7, 2026, 5:53 p.m.
NEDg Description generation batch_69ac669c3d7c819085194c797d41fb5d completed March 7, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69ac670ce8b881909d4ea8082f7fe096 completed March 7, 2026, 5:57 p.m.
Created at: March 1, 2026, 7:42 p.m.