Triple

T9537145
Position Surface form Disambiguated ID Type / Status
Subject Carla Del Ponte E230046 entity
Predicate placeOfBirth P1 FINISHED
Object Bignasco
Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
E826304 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: Bignasco | Statement: [Carla Del Ponte, placeOfBirth, Bignasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bignasco
Context triple: [Carla Del Ponte, placeOfBirth, Bignasco]
  • 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. Arzignano
    Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
  • C. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • D. Bevagna
    Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
  • E. Tremezzo
    Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
  • 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: Bignasco
Triple: [Carla Del Ponte, placeOfBirth, Bignasco]
Generated description
Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bignasco
Target entity description: Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
  • 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. Arzignano
    Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
  • C. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • D. Bevagna
    Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
  • E. Tremezzo
    Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ce884c8190a8b3c2dc7c73c2c9 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3e92c4c819094cbd2661c425b7c completed April 5, 2026, 4:24 a.m.
NEDg Description generation batch_69d1e49758f88190bb014eea3c68f0e0 completed April 5, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1e4f21a688190bac558e82534e50f completed April 5, 2026, 4:28 a.m.
Created at: March 30, 2026, 8:01 p.m.