Triple
T1802441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Dravidian |
E39750
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
Irula language
Irula language is a Dravidian tribal language spoken primarily by the Irula people in parts of Tamil Nadu and Kerala in southern India.
|
E202767
|
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: Irula language | Statement: [Southern Dravidian, includes, Irula language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irula language Context triple: [Southern Dravidian, includes, Irula language]
-
A.
Chenchu language
The Chenchu language is a Dravidian tribal language spoken by the Chenchu people of India, primarily in the forests of Andhra Pradesh and Telangana.
-
B.
Mundari
Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
-
C.
Kurukh
Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
-
D.
Guna language
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
-
E.
Lambadi language
The Lambadi language is an Indo-Aryan language spoken primarily by the Banjara (Lambadi) community in parts of India.
- 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: Irula language Triple: [Southern Dravidian, includes, Irula language]
Generated description
Irula language is a Dravidian tribal language spoken primarily by the Irula people in parts of Tamil Nadu and Kerala in southern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irula language Target entity description: Irula language is a Dravidian tribal language spoken primarily by the Irula people in parts of Tamil Nadu and Kerala in southern India.
-
A.
Chenchu language
The Chenchu language is a Dravidian tribal language spoken by the Chenchu people of India, primarily in the forests of Andhra Pradesh and Telangana.
-
B.
Mundari
Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
-
C.
Kurukh
Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
-
D.
Guna language
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
-
E.
Lambadi language
The Lambadi language is an Indo-Aryan language spoken primarily by the Banjara (Lambadi) community in parts of India.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa656c4c5481908468c6e6f9c4bfc0 |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf5645808190a774d96cfe5c5e58 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adbff32038819088dffc71e8376821 |
completed | March 8, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc084c9b88190a0d53f5c7c459611 |
completed | March 8, 2026, 6:31 p.m. |
Created at: March 4, 2026, 7:32 p.m.