Triple

T340484
Position Surface form Disambiguated ID Type / Status
Subject Pope Paul III E6824 entity
Predicate birthPlace P1 FINISHED
Object Canino
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
E43163 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: Canino | Statement: [Pope Paul III, birthPlace, Canino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canino
Context triple: [Pope Paul III, birthPlace, Canino]
  • A. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • B. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • C. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • D. Carneros
    Carneros is a cool-climate wine region in California, renowned for producing high-quality Pinot Noir and Chardonnay.
  • E. Celle
    Celle is a historic town in northern Germany renowned for its well-preserved half-timbered old town and ducal palace.
  • 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: Canino
Triple: [Pope Paul III, birthPlace, Canino]
Generated description
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Canino
Target entity description: Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
  • A. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • B. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • C. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • D. Carneros
    Carneros is a cool-climate wine region in California, renowned for producing high-quality Pinot Noir and Chardonnay.
  • E. Celle
    Celle is a historic town in northern Germany renowned for its well-preserved half-timbered old town and ducal palace.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae4fcc08190bd4c2bf0149c8b50 completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4e701408190a13f8c50c1271bb4 completed March 1, 2026, 5:55 a.m.
NEDg Description generation batch_69a3d534891c8190adc4ffc0762730d4 completed March 1, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_69a3d5d1ed8c8190ba5306b6f2304e62 completed March 1, 2026, 5:59 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.