Triple

T3788772
Position Surface form Disambiguated ID Type / Status
Subject Countess of Cortellazzo and Buccari E89592 entity
Predicate namedAfter P63 FINISHED
Object Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
 E389394 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: Buccari | Statement: [Countess of Cortellazzo and Buccari, namedAfter, Buccari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buccari
Context triple: [Countess of Cortellazzo and Buccari, namedAfter, Buccari]
  • A. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • B. Baciocchi
    Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
  • C. Alberoni
    Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
  • D. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • E. Veroli
    Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
  • 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: Buccari
Triple: [Countess of Cortellazzo and Buccari, namedAfter, Buccari]
Generated description
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buccari
Target entity description: Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
  • A. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • B. Baciocchi
    Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
  • C. Alberoni
    Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
  • D. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • E. Veroli
    Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76570b481909c26d47a3251b180 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05031cc8190825105f77dd76438 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f4f80f4c8190890dae6770d10d4d completed March 14, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69b4f55f53ec8190a5f9cf6d494e75dd completed March 14, 2026, 5:42 a.m.
Created at: March 9, 2026, 3:14 p.m.