Triple
T20568937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanti |
E505038
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Mahishmati |
—
|
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: Mahishmati | Statement: [Avanti, majorCity, Mahishmati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahishmati Context triple: [Avanti, majorCity, Mahishmati]
-
A.
Mahishmati
chosen
Mahishmati is a grand, fictional ancient Indian kingdom known as the central setting of the epic action film series "Baahubali."
-
B.
Mahishya
Mahishya is a prominent agrarian and artisan community from Bengal, historically influential in regional society, economy, and social reform movements.
-
C.
Mahishasura
Mahishasura is a powerful buffalo demon in Hindu mythology, best known as the formidable adversary slain by the goddess Durga in a legendary cosmic battle.
-
D.
Bakasura
Bakasura is a fearsome demon from Hindu mythology, known for his immense strength, cannibalistic nature, and defeat at the hands of the Pandava hero Bhima in the Mahabharata.
-
E.
Rakshasa
Rakshasa are powerful, shape-shifting demonic beings from Hindu mythology, often depicted as malevolent spirits or warriors who oppose gods and heroes in epic tales like the Ramayana.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a4b90c81909854dac72f671eec |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.