Triple

T21305071
Position Surface form Disambiguated ID Type / Status
Subject Alessandro Antonelli E525173 entity
Predicate placeOfBirth P1 FINISHED
Object Ghemme
Ghemme is a small town in Italy’s Piedmont region, known for its historic architecture and production of Nebbiolo-based wines.
E1477222 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: Ghemme | Statement: [Alessandro Antonelli, placeOfBirth, Ghemme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghemme
Context triple: [Alessandro Antonelli, placeOfBirth, Ghemme]
  • A. Gemer
    Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
  • B. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • C. Gemerek
    Gemerek is a town and district in central Turkey known for its location within Sivas Province on the Anatolian plateau.
  • D. De Meent
    De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
  • E. Gamelia
    Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
  • 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: Ghemme
Triple: [Alessandro Antonelli, placeOfBirth, Ghemme]
Generated description
Ghemme is a small town in Italy’s Piedmont region, known for its historic architecture and production of Nebbiolo-based wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ghemme
Target entity description: Ghemme is a small town in Italy’s Piedmont region, known for its historic architecture and production of Nebbiolo-based wines.
  • A. Gemer
    Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
  • B. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • C. Gemerek
    Gemerek is a town and district in central Turkey known for its location within Sivas Province on the Anatolian plateau.
  • D. De Meent
    De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
  • E. Gamelia
    Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa341908190963c4368708860b8 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed32130819081479d9845d74ac3 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f69f1e08190bf96197fcf42b897 completed May 17, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a099feeda3481909d8020763f32d430 completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 4:05 p.m.