Triple
T21035792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchha State |
E518185
|
entity |
| Predicate | headOfStateTitle |
P593
|
FINISHED |
| Object | Maharaja |
—
|
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: Maharaja | Statement: [Orchha State, headOfStateTitle, Maharaja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maharaja Context triple: [Orchha State, headOfStateTitle, Maharaja]
-
A.
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.
-
B.
Raja
Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
-
C.
Rajarshi
Rajarshi is an honorific title in ancient Indian tradition denoting a king who has attained the spiritual wisdom and detachment of a sage.
-
D.
Maharaja Wana
Maharaja Wana is the primary demon-king antagonist in the Malay literary adaptation of the Ramayana, known for abducting Siti Dewi and opposing Seri Rama.
-
E.
Maharaja of Panjalu
The Maharaja of Panjalu was the sovereign ruler of the historical Sundanese kingdom of Panjalu in West Java, Indonesia.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc865ca88190abf336ee9012fa77 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 2:02 p.m.