Triple

T1238175
Position Surface form Disambiguated ID Type / Status
Subject Sant’Anna E26594 entity
Predicate nameVariant P744 FINISHED
Object Sant’Anna
Sant’Anna is an Italian surname and place name commonly associated with various churches, localities, and institutions in Italy and other countries with Italian heritage.
 E142616 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: Sant’Anna | Statement: [Sant’Anna, nameVariant, Sant’Anna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sant’Anna
Context triple: [Sant’Anna, nameVariant, Sant’Anna]
  • A. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • B. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Porto Ercole
    Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
  • E. Anchiano
    Anchiano is a small hamlet near Vinci in Tuscany, Italy, best known as the birthplace of Leonardo da Vinci.
  • 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: Sant’Anna
Triple: [Sant’Anna, nameVariant, Sant’Anna]
Generated description
Sant’Anna is an Italian surname and place name commonly associated with various churches, localities, and institutions in Italy and other countries with Italian heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sant’Anna
Target entity description: Sant’Anna is an Italian surname and place name commonly associated with various churches, localities, and institutions in Italy and other countries with Italian heritage.
  • A. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • B. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Porto Ercole
    Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
  • E. Anchiano
    Anchiano is a small hamlet near Vinci in Tuscany, Italy, best known as the birthplace of Leonardo da Vinci.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf406b988190a12aa26bbcb88d6a completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7755fc819089e23eca81583885 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac903eb12c8190a4024a71f15b19a4 completed March 7, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69ac916522b081908401b89261f99d50 completed March 7, 2026, 8:58 p.m.
Created at: March 1, 2026, 7:47 p.m.