Triple

T10061495
Position Surface form Disambiguated ID Type / Status
Subject Imola E212999 entity
Predicate demonym P191 FINISHED
Object Imolesi
Imolesi are the inhabitants or natives of the Italian city of Imola, located in the Emilia-Romagna region.
E839459 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: Imolesi | Statement: [Imola, demonym, Imolesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imolesi
Context triple: [Imola, demonym, Imolesi]
  • A. Mofolo
    Mofolo is a residential neighborhood within Soweto, Johannesburg, known for its vibrant township culture and historical significance in South Africa.
  • B. Nwangele
    Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
  • C. Makgoba
    Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
  • D. Mokorotlo
    Mokorotlo is a traditional Basotho conical hat, typically woven from grass, that serves as a national cultural symbol of Lesotho.
  • E. Mangosuthu
    Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
  • 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: Imolesi
Triple: [Imola, demonym, Imolesi]
Generated description
Imolesi are the inhabitants or natives of the Italian city of Imola, located in the Emilia-Romagna region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Imolesi
Target entity description: Imolesi are the inhabitants or natives of the Italian city of Imola, located in the Emilia-Romagna region.
  • A. Mofolo
    Mofolo is a residential neighborhood within Soweto, Johannesburg, known for its vibrant township culture and historical significance in South Africa.
  • B. Nwangele
    Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
  • C. Makgoba
    Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
  • D. Mokorotlo
    Mokorotlo is a traditional Basotho conical hat, typically woven from grass, that serves as a national cultural symbol of Lesotho.
  • E. Mangosuthu
    Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd1fc98819082ec3f2f91151955 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a717f008190907089e1acb32361 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b75634c819088c8ef750b1691d2 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29f5007f88190b0330d1a8c551905 completed April 5, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:57 p.m.