Triple

T13231908
Position Surface form Disambiguated ID Type / Status
Subject Province of Ferrara E315040 entity
Predicate contains P35 FINISHED
Object Bondeno
Bondeno is a municipality in northern Italy’s Emilia-Romagna region, known for its agricultural landscape and location within the Province of Ferrara.
 E1029034 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: Bondeno | Statement: [Province of Ferrara, contains, Bondeno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bondeno
Context triple: [Province of Ferrara, contains, Bondeno]
  • A. Bondy
    Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
  • B. Bondo
    Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
  • C. Bondojito
    Bondojito is a station on Mexico City’s Metro system, serving passengers on Line 4 in the northern part of the city.
  • D. Bondo Nekat
    Bondo Nekat is an alternative name for Bonek, the passionate and often fiercely loyal supporter movement of the Indonesian football club Persebaya Surabaya.
  • E. Bonda’
    Bonda’ is an alternative name for the Suwawa language, an Austronesian language spoken in parts of northern Sulawesi, Indonesia.
  • 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: Bondeno
Triple: [Province of Ferrara, contains, Bondeno]
Generated description
Bondeno is a municipality in northern Italy’s Emilia-Romagna region, known for its agricultural landscape and location within the Province of Ferrara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bondeno
Target entity description: Bondeno is a municipality in northern Italy’s Emilia-Romagna region, known for its agricultural landscape and location within the Province of Ferrara.
  • A. Bondy
    Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
  • B. Bondo
    Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
  • C. Bondojito
    Bondojito is a station on Mexico City’s Metro system, serving passengers on Line 4 in the northern part of the city.
  • D. Bondo Nekat
    Bondo Nekat is an alternative name for Bonek, the passionate and often fiercely loyal supporter movement of the Indonesian football club Persebaya Surabaya.
  • E. Bonda’
    Bonda’ is an alternative name for the Suwawa language, an Austronesian language spoken in parts of northern Sulawesi, Indonesia.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d34ff288190bdb550a019b7a470 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2c07488190ad07c544cca63a7d completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70408b2088190989c3b38a5d66495 completed May 3, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69f70518acc0819089a987abfd42f928 completed May 3, 2026, 8:19 a.m.
Created at: April 9, 2026, 9:22 p.m.