Triple
T8597959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bikaner State |
E203597
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Rao Bika |
E187811
|
NE FINISHED |
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: Rao Bika | Statement: [Bikaner State, founder, Rao Bika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rao Bika Context triple: [Bikaner State, founder, Rao Bika]
-
A.
Rao Bika
chosen
Rao Bika was a 15th-century Rajput prince of the Rathore clan who established and ruled the kingdom that became the city of Bikaner in present-day Rajasthan, India.
-
B.
Rasammah Bhupalan
Rasammah Bhupalan was a Malaysian freedom fighter and educator known for her service in the Indian National Army’s Rani of Jhansi Regiment and her later activism in education and women’s rights.
-
C.
Kanchipuri
Kanchipuri is another name for Kanchipuram, an ancient South Indian city renowned for its historic temples and silk saree weaving tradition.
-
D.
Cheeni Kum
Cheeni Kum is a 2007 Indian romantic comedy film directed by R. Balki, known for its unconventional love story between an older chef and a much younger woman, played by Tabu.
-
E.
Shahi
Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8dd86d08190a7f8e674e16dd8b6 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.