Triple
T21556136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banjara |
E531896
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Lambadi |
—
|
NE NERFINISHED |
How this triple was built (2 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: Lambadi | Statement: [Banjara, language, Lambadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lambadi Context triple: [Banjara, language, Lambadi]
-
A.
Lambadi
chosen
Lambadi is an Indo-Aryan language variety spoken primarily by the Lambadi (Banjara) community across parts of northwestern and central India.
-
B.
Lambadi people
The Lambadi people are a traditionally nomadic tribal community of India, known for their vibrant embroidered clothing, folk dances, and distinct language and customs.
-
C.
Chenchu
Chenchu is a Dravidian language spoken by the indigenous Chenchu people, primarily inhabiting forested regions of Andhra Pradesh and Telangana in India.
-
D.
Dagara
Dagara is a Gur language spoken primarily in parts of Ghana and Burkina Faso by the Dagara people.
-
E.
Rabha
Rabha are an indigenous ethnic group of Northeast India, primarily inhabiting Assam and Meghalaya, known for their distinct Tibeto-Burman language, agrarian lifestyle, and rich folk traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2df48c88190894b6b08a5cb6390 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.