Triple
T21454809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhili–Khandeshi subgroup |
E529313
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Rathwi Bhili |
—
|
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: Rathwi Bhili | Statement: [Bhili–Khandeshi subgroup, hasMember, Rathwi Bhili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rathwi Bhili Context triple: [Bhili–Khandeshi subgroup, hasMember, Rathwi Bhili]
-
A.
Bhili
chosen
Bhili is an Indo-Aryan language spoken primarily by the Bhil tribal communities in western and central India.
-
B.
Tarapith
Tarapith is a renowned Hindu pilgrimage town in India famous for its temple dedicated to the goddess Tara and associated tantric practices.
-
C.
Bichri
Bichri is a biblical figure known primarily as the father of Sheba, who led a rebellion against King David in the Hebrew Bible.
-
D.
Harka Bai
Harka Bai was a Mughal-era royal woman, traditionally identified as one of the wives or consorts associated with Emperor Akbar’s court.
-
E.
Bhilodi
Bhilodi is an alternative name for Bhili, an Indo-Aryan language spoken primarily by the Bhil people of western and central India.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d612e081909d00ca59a3621cc9 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.