Triple

T7730533
Position Surface form Disambiguated ID Type / Status
Subject Konda-Dora E175237 entity
Predicate hasAlternativeName P39 FINISHED
Object Konda-Dora language
Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
E685561 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: Konda-Dora language | Statement: [Konda-Dora, hasAlternativeName, Konda-Dora language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konda-Dora language
Context triple: [Konda-Dora, hasAlternativeName, Konda-Dora language]
  • A. Konkow language
    The Konkow language is an endangered Native American language traditionally spoken by the Konkow (Koyom’kawi) people of northern California.
  • B. Nendö language
    The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
  • C. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • D. Kamviri language
    The Kamviri language is a Nuristani language spoken primarily by the Kam people in parts of eastern Afghanistan and neighboring regions of Pakistan.
  • E. Dendi language
    The Dendi language is a Songhay language spoken primarily along the Niger River in Benin, Niger, and Nigeria, serving as a regional lingua franca in trade and daily communication.
  • 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: Konda-Dora language
Triple: [Konda-Dora, hasAlternativeName, Konda-Dora language]
Generated description
Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Konda-Dora language
Target entity description: Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
  • A. Konkow language
    The Konkow language is an endangered Native American language traditionally spoken by the Konkow (Koyom’kawi) people of northern California.
  • B. Nendö language
    The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
  • C. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • D. Kamviri language
    The Kamviri language is a Nuristani language spoken primarily by the Kam people in parts of eastern Afghanistan and neighboring regions of Pakistan.
  • E. Dendi language
    The Dendi language is a Songhay language spoken primarily along the Niger River in Benin, Niger, and Nigeria, serving as a regional lingua franca in trade and daily communication.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3244088190be26dec90db9cfb3 completed March 29, 2026, 5:52 a.m.
NEDg Description generation batch_69c8bf141c8081908c33dab4d90943b0 completed March 29, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf8c4bdc81909c74f7b4ec524177 completed March 29, 2026, 5:58 a.m.
Created at: March 27, 2026, 4:06 p.m.