Triple

T6923794
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Bari E160252 entity
Predicate contains P35 FINISHED
Object Poggiorsini
Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
 E633514 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: Poggiorsini | Statement: [Metropolitan City of Bari, contains, Poggiorsini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poggiorsini
Context triple: [Metropolitan City of Bari, contains, Poggiorsini]
  • A. Poggio
    Poggio is a small village on the Italian island of Elba, known for its scenic hillside setting near Monte Capanne.
  • B. Schignano
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • E. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • 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: Poggiorsini
Triple: [Metropolitan City of Bari, contains, Poggiorsini]
Generated description
Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poggiorsini
Target entity description: Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
  • A. Poggio
    Poggio is a small village on the Italian island of Elba, known for its scenic hillside setting near Monte Capanne.
  • B. Schignano
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • E. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fea8d08190b6099a24fbac7de5 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761800804819082320a03f035f05b completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c7629031608190b1ef76e969c97925 completed March 28, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69c76329a47081909b47894ba0e1cad1 completed March 28, 2026, 5:12 a.m.
Created at: March 27, 2026, 2:26 p.m.