Triple
T17735196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudhoji Bhonsle |
E442694
|
entity |
| Predicate | house |
P1505
|
FINISHED |
| Object | Bhonsle |
—
|
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: Bhonsle | Statement: [Mudhoji Bhonsle, house, Bhonsle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhonsle Context triple: [Mudhoji Bhonsle, house, Bhonsle]
-
A.
Bhonsle
chosen
The Bhonsle were a prominent Maratha royal dynasty best known for producing Chhatrapati Shivaji, founder of the Maratha Empire in western India.
-
B.
Kulkarni
Kulkarni is a traditional village-level official in the Maratha administrative system responsible for maintaining land and revenue records.
-
C.
Bhimsagar
Bhimsagar is a notable historical site in Rajasthan, India, recognized for its heritage significance within the Jhalawar region.
-
D.
Bhandardara
Bhandardara is a scenic hill station and lakeside village in Maharashtra, India, known for its waterfalls, forts, and tranquil natural surroundings.
-
E.
Sarodar
Sarodar is a village in Gujarat, India, known primarily as the birthplace of the famed cricketer and ruler Kumar Shri Ranjitsinhji.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478eaff6c81909c7bd438b8c6c987 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.