Triple

T6923756
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Bari E160252 entity
Predicate contains P35 FINISHED
Object Bitonto
Bitonto is a historic town in Italy’s Apulia region, renowned for its well-preserved medieval architecture and high-quality olive oil production.
E634195 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: Bitonto | Statement: [Metropolitan City of Bari, contains, Bitonto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitonto
Context triple: [Metropolitan City of Bari, contains, Bitonto]
  • A. Schignano
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • B. Loiano
    Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
  • C. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • D. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • E. Tolentino
    Tolentino is a historic town in Italy’s Marche region, known for its religious heritage and association with Saint Nicholas of Tolentino.
  • 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: Bitonto
Triple: [Metropolitan City of Bari, contains, Bitonto]
Generated description
Bitonto is a historic town in Italy’s Apulia region, renowned for its well-preserved medieval architecture and high-quality olive oil production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bitonto
Target entity description: Bitonto is a historic town in Italy’s Apulia region, renowned for its well-preserved medieval architecture and high-quality olive oil production.
  • A. Schignano
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • B. Loiano
    Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
  • C. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • D. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • E. Tolentino
    Tolentino is a historic town in Italy’s Marche region, known for its religious heritage and association with Saint Nicholas of Tolentino.
  • 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_69c769f6340c8190adab3e28cfe67e4a completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76afe5cf481909cb22ebf94511530 completed March 28, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69c76b690e3c8190823cb5cda4e3f5ac completed March 28, 2026, 5:47 a.m.
Created at: March 27, 2026, 2:26 p.m.