Triple
T23238671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhabua district |
E581373
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Bhilali |
—
|
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: Bhilali | Statement: [Jhabua district, language, Bhilali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhilali Context triple: [Jhabua district, language, Bhilali]
-
A.
Bhili
chosen
Bhili is an Indo-Aryan language spoken primarily by the Bhil tribal communities in western and central India.
-
B.
Bhilala
The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
-
C.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
D.
Aalwar
Aalwar is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its themes of revenge and vigilantism.
-
E.
Bhanu
Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ebaef4819083a7805537ad993f |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.