Triple

T17810635
Position Surface form Disambiguated ID Type / Status
Subject Duke of Santángelo E444691 entity
Predicate namedAfter P63 FINISHED
Object Santángelo
Santángelo is a place in Spain historically associated with the noble title of Duke of Santángelo.
E1290032 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: Santángelo | Statement: [Duke of Santángelo, namedAfter, Santángelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santángelo
Context triple: [Duke of Santángelo, namedAfter, Santángelo]
  • A. Subbiano
    Subbiano is a small town and comune in the province of Arezzo in Tuscany, central Italy, situated along the Arno River.
  • B. San Rosendo
    San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
  • C. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • D. Montojo
    Montojo is a Spanish surname most notably associated with Admiral Patricio Montojo y Pasarón, a commander in the Spanish–American War.
  • E. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • 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: Santángelo
Triple: [Duke of Santángelo, namedAfter, Santángelo]
Generated description
Santángelo is a place in Spain historically associated with the noble title of Duke of Santángelo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santángelo
Target entity description: Santángelo is a place in Spain historically associated with the noble title of Duke of Santángelo.
  • A. Subbiano
    Subbiano is a small town and comune in the province of Arezzo in Tuscany, central Italy, situated along the Arno River.
  • B. San Rosendo
    San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
  • C. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • D. Montojo
    Montojo is a Spanish surname most notably associated with Admiral Patricio Montojo y Pasarón, a commander in the Spanish–American War.
  • E. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887a50488190b9c148146ec607e6 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff608640819093b5f1b31a254a83 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03038f7e54819090b85bed9044efd2 completed May 12, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0303fe44308190b6cca9a119c969d9 completed May 12, 2026, 10:42 a.m.
Created at: April 10, 2026, 10:14 a.m.