Triple

T11423888
Position Surface form Disambiguated ID Type / Status
Subject Mangalore University E270695 entity
Predicate campusLocation P269 FINISHED
Object Konaje
Konaje is a suburban locality near Mangalore in Karnataka, India, best known as the site of the main campus of Mangalore University.
 E924674 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: Konaje | Statement: [Mangalore University, campusLocation, Konaje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Konaje
Context triple: [Mangalore University, campusLocation, Konaje]
  • A. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • B. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • C. Konedobu
    Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
  • D. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • E. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • 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: Konaje
Triple: [Mangalore University, campusLocation, Konaje]
Generated description
Konaje is a suburban locality near Mangalore in Karnataka, India, best known as the site of the main campus of Mangalore University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Konaje
Target entity description: Konaje is a suburban locality near Mangalore in Karnataka, India, best known as the site of the main campus of Mangalore University.
  • A. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • B. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • C. Konedobu
    Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
  • D. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • E. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8b553808190bf8b40d9b03e12b7 completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.