Triple

T1861652
Position Surface form Disambiguated ID Type / Status
Subject Tuscany E34826 entity
Predicate traditionalCuisine P1016 FINISHED
Object ribollita
Ribollita is a hearty Tuscan bread-and-vegetable soup, traditionally made with leftover bread, beans, and seasonal greens like cavolo nero.
 E207973 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: ribollita | Statement: [Tuscany, traditionalCuisine, ribollita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ribollita
Context triple: [Tuscany, traditionalCuisine, ribollita]
  • A. bagna càuda
    Bagna càuda is a warm Italian dipping sauce from Piedmont made primarily with garlic, anchovies, olive oil, and sometimes butter, typically served with raw or cooked vegetables.
  • B. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • C. Caprese
    Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
  • D. Alfredo
    Alfredo is a masculine given name, commonly used in Italian, Spanish, and Portuguese-speaking countries, derived from the name Alfred.
  • E. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • 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: ribollita
Triple: [Tuscany, traditionalCuisine, ribollita]
Generated description
Ribollita is a hearty Tuscan bread-and-vegetable soup, traditionally made with leftover bread, beans, and seasonal greens like cavolo nero.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ribollita
Target entity description: Ribollita is a hearty Tuscan bread-and-vegetable soup, traditionally made with leftover bread, beans, and seasonal greens like cavolo nero.
  • A. bagna càuda
    Bagna càuda is a warm Italian dipping sauce from Piedmont made primarily with garlic, anchovies, olive oil, and sometimes butter, typically served with raw or cooked vegetables.
  • B. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • C. Caprese
    Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
  • D. Alfredo
    Alfredo is a masculine given name, commonly used in Italian, Spanish, and Portuguese-speaking countries, derived from the name Alfred.
  • E. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09e714881909cef0f7e77b5b3b9 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1d026748190a507872de85c908d completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add2729498819082f6595c57f545a8 completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add32c32b08190be6624eefa2fa386 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:34 p.m.