Triple

T2829892
Position Surface form Disambiguated ID Type / Status
Subject Marche E62209 entity
Predicate hasTraditionalDish P17971 FINISHED
Object vincisgrassi
Vincisgrassi is a rich baked pasta dish from Italy’s Marche region, similar to lasagna and typically layered with meat ragù, béchamel, and grated cheese.
 E301279 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: vincisgrassi | Statement: [Marche, hasTraditionalDish, vincisgrassi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: vincisgrassi
Context triple: [Marche, hasTraditionalDish, vincisgrassi]
  • A. Gruchy
    Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
  • B. Val Veny
    Val Veny is a scenic alpine valley near Courmayeur in Italy’s Aosta Valley, known for its dramatic views of Mont Blanc, hiking trails, and natural landscapes.
  • C. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • D. Venini
    Venini is a renowned Italian glassmaking company based in Murano, celebrated for its innovative and artistic blown-glass designs.
  • E. Kin Vassy
    Kin Vassy was an American singer and songwriter best known for his work in country and pop music, including collaborations with artists like Kenny Rogers and Frank Zappa.
  • 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: vincisgrassi
Triple: [Marche, hasTraditionalDish, vincisgrassi]
Generated description
Vincisgrassi is a rich baked pasta dish from Italy’s Marche region, similar to lasagna and typically layered with meat ragù, béchamel, and grated cheese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: vincisgrassi
Target entity description: Vincisgrassi is a rich baked pasta dish from Italy’s Marche region, similar to lasagna and typically layered with meat ragù, béchamel, and grated cheese.
  • A. Gruchy
    Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
  • B. Val Veny
    Val Veny is a scenic alpine valley near Courmayeur in Italy’s Aosta Valley, known for its dramatic views of Mont Blanc, hiking trails, and natural landscapes.
  • C. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • D. Venini
    Venini is a renowned Italian glassmaking company based in Murano, celebrated for its innovative and artistic blown-glass designs.
  • E. Kin Vassy
    Kin Vassy was an American singer and songwriter best known for his work in country and pop music, including collaborations with artists like Kenny Rogers and Frank Zappa.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebbde4881908dfa78e28c7018e0 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb4f3ec8190987afb7a2ac302e2 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf46a4e88190907ca735a1745c79 completed March 10, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69afcff778748190978e7d306e0d1ce1 completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 10:01 p.m.