Triple
T19149776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sada Kaur |
E468773
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Kanhaiya Misl |
—
|
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: Kanhaiya Misl | Statement: [Sada Kaur, associatedWith, Kanhaiya Misl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanhaiya Misl Context triple: [Sada Kaur, associatedWith, Kanhaiya Misl]
-
A.
Kanhaiya Misl
chosen
Kanhaiya Misl was one of the prominent Sikh confederacies (misls) in 18th-century Punjab, known for its significant military and political influence before the rise of the Sikh Empire.
-
B.
Kanheya Misl
Kanheya Misl was one of the prominent Sikh warrior clans (misls) that played a key role in the military and political landscape of 18th-century Punjab.
-
C.
Hill Kharia
Hill Kharia is a dialect of the Kharia language spoken by Kharia communities in hilly regions of eastern India.
-
D.
Balotra
Balotra is a town in the Indian state of Rajasthan, known as a regional commercial center and textile hub within the Barmer district.
-
E.
Bharat Singh
Bharat Singh is a film editor known for his work on the popular Hindi movie "Raja Hindustani."
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97c42348190875a2f5b5bc0b99e |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.