Triple
T7466895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauda Kingdom |
E176393
|
entity |
| Predicate | titleOfRuler |
P10605
|
FINISHED |
| Object | Maharajadhiraja |
E92074
|
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: Maharajadhiraja | Statement: [Gauda Kingdom, titleOfRuler, Maharajadhiraja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maharajadhiraja Context triple: [Gauda Kingdom, titleOfRuler, Maharajadhiraja]
-
A.
Maharaja Rana
Maharaja Rana was the hereditary royal title borne by the sovereign rulers of the princely state of Porbandar in pre-independence India.
-
B.
Maharaja
chosen
Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
-
C.
Raja
Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
-
D.
King Chattergy
King Chattergy is a fictional monarch in Salman Rushdie’s novel "Haroun and the Sea of Stories," ruling the fantastical realm of Gup.
-
E.
Kshemaraja
Kshemaraja was an influential 11th-century Kashmiri philosopher and disciple of Abhinavagupta, renowned for his seminal commentaries and systematization of non-dual Kashmir Shaivism.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f589cc81909f25268838c7c964 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8346ff7d881909dc2bef5d26d0acf |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:40 p.m.