Triple
T19595840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neang Seda |
E470345
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | Ramayana |
—
|
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: Ramayana | Statement: [Neang Seda, derivedFrom, Ramayana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramayana Context triple: [Neang Seda, derivedFrom, Ramayana]
-
A.
Ramayana
chosen
The Ramayana is an ancient Indian epic poem that narrates the life, exile, and heroic exploits of Prince Rama, serving as a foundational cultural and religious text across much of South and Southeast Asia.
-
B.
Bhavarth Ramayan
Bhavarth Ramayan is a revered Marathi poetic commentary on the Bhagavad Gita, traditionally attributed to the 13th-century saint-poet Dnyaneshwar.
-
C.
Mahabharata
The Mahabharata is an ancient Indian epic poem that narrates the dynastic struggle between the Pandavas and Kauravas and serves as a foundational text of Hindu philosophy, ethics, and mythology.
-
D.
Ramaabhyudayam
Ramaabhyudayam is a renowned Telugu literary work, celebrated as a classical poem that exalts the life and virtues of Lord Rama.
-
E.
Chheleder Ramayan
Chheleder Ramayan is a famous Bengali retelling of the Ramayana written in a humorous, child-friendly style by Upendrakishore Ray Chowdhury.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407a09608190aa1df92f8c21f9e7 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.