Triple

T7129678
Position Surface form Disambiguated ID Type / Status
Subject Monferrato E166153 entity
Predicate contains P35 FINISHED
Object Cocconato
Cocconato is a small Italian hill town in the Piedmont region, noted for its scenic landscapes, wine production, and traditional local cuisine.
 E644359 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: Cocconato | Statement: [Monferrato, contains, Cocconato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cocconato
Context triple: [Monferrato, contains, Cocconato]
  • A. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • B. Priola
    Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
  • C. Conca
    Conca is a small commune in southern Corsica, France, known as a gateway village for hikers on the famous GR20 long-distance trail.
  • D. Cottanello
    Cottanello is a small historic municipality in the Lazio region of central Italy, known for its rural landscape and traditional architecture.
  • E. Tortorella
    Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
  • 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: Cocconato
Triple: [Monferrato, contains, Cocconato]
Generated description
Cocconato is a small Italian hill town in the Piedmont region, noted for its scenic landscapes, wine production, and traditional local cuisine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cocconato
Target entity description: Cocconato is a small Italian hill town in the Piedmont region, noted for its scenic landscapes, wine production, and traditional local cuisine.
  • A. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • B. Priola
    Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
  • C. Conca
    Conca is a small commune in southern Corsica, France, known as a gateway village for hikers on the famous GR20 long-distance trail.
  • D. Cottanello
    Cottanello is a small historic municipality in the Lazio region of central Italy, known for its rural landscape and traditional architecture.
  • E. Tortorella
    Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45ce628819085343c30f2886a95 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a60ac4348190a623522f2d8199e9 completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:44 p.m.