Triple

T9770834
Position Surface form Disambiguated ID Type / Status
Subject Dimasa E237118 entity
Predicate hasAlternativeName P39 FINISHED
Object Dima
Dima is an alternative name for the Dimasa people, an indigenous ethnic group primarily inhabiting parts of Northeast India.
 E820059 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: Dima | Statement: [Dimasa, hasAlternativeName, Dima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dima
Context triple: [Dimasa, hasAlternativeName, Dima]
  • A. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • B. Misha
    Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
  • C. Ilya
    Ilya is a common Russian given name, notably borne by star ice hockey player Ilya Kovalchuk.
  • D. Dimitri
    Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
  • E. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • 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: Dima
Triple: [Dimasa, hasAlternativeName, Dima]
Generated description
Dima is an alternative name for the Dimasa people, an indigenous ethnic group primarily inhabiting parts of Northeast India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dima
Target entity description: Dima is an alternative name for the Dimasa people, an indigenous ethnic group primarily inhabiting parts of Northeast India.
  • A. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • B. Misha
    Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
  • C. Ilya
    Ilya is a common Russian given name, notably borne by star ice hockey player Ilya Kovalchuk.
  • D. Dimitri
    Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
  • E. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f329148190a5e531478bc18073 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd0cae548190a2d9b42ea4ecc372 completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1be4f81cc819093a80da4025ccc5d completed April 5, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69d1beda84d4819089eb9f33824f1c35 completed April 5, 2026, 1:46 a.m.
Created at: March 30, 2026, 8:26 p.m.