Triple

T5895760
Position Surface form Disambiguated ID Type / Status
Subject Ganjami Odia E131096 entity
Predicate hasAlternativeName P39 FINISHED
Object Ganjami
Ganjami is a regional dialect of the Odia language spoken primarily in the Ganjam region of Odisha, India.
 E553159 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: Ganjami | Statement: [Ganjami Odia, hasAlternativeName, Ganjami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ganjami
Context triple: [Ganjami Odia, hasAlternativeName, Ganjami]
  • A. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • B. Mirpuri
    Mirpuri is a major dialect of the Lahnda (Western Punjabi) language, primarily spoken in the Mirpur region of Azad Kashmir and among its diaspora communities.
  • C. Gojri
    Gojri is an Indo-Aryan language traditionally spoken by the Gujjar community across parts of northern India and Pakistan.
  • D. Nagpuri
    Nagpuri is an Indo-Aryan language spoken primarily in parts of eastern India, especially in and around the present-day state of Jharkhand.
  • E. Tulu
    Tulu is a Dravidian language spoken primarily in the coastal regions of Karnataka and northern Kerala in southwestern India, known for its rich oral traditions and distinct cultural identity.
  • 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: Ganjami
Triple: [Ganjami Odia, hasAlternativeName, Ganjami]
Generated description
Ganjami is a regional dialect of the Odia language spoken primarily in the Ganjam region of Odisha, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ganjami
Target entity description: Ganjami is a regional dialect of the Odia language spoken primarily in the Ganjam region of Odisha, India.
  • A. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • B. Mirpuri
    Mirpuri is a major dialect of the Lahnda (Western Punjabi) language, primarily spoken in the Mirpur region of Azad Kashmir and among its diaspora communities.
  • C. Gojri
    Gojri is an Indo-Aryan language traditionally spoken by the Gujjar community across parts of northern India and Pakistan.
  • D. Nagpuri
    Nagpuri is an Indo-Aryan language spoken primarily in parts of eastern India, especially in and around the present-day state of Jharkhand.
  • E. Tulu
    Tulu is a Dravidian language spoken primarily in the coastal regions of Karnataka and northern Kerala in southwestern India, known for its rich oral traditions and distinct cultural identity.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f3364c81909353f62ca483f24f completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1558fa48190a6ecde69c1477863 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b2442bf881908aeaecb46463e32d completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b2bc8b9c8190ab642d317056b1de completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:58 p.m.