Triple
T16964449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Brahmi |
E411507
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | Brahmi |
E163757
|
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: Brahmi | Statement: [Southern Brahmi, derivedFrom, Brahmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brahmi Context triple: [Southern Brahmi, derivedFrom, Brahmi]
-
A.
Brahmi
chosen
Brahmi is an ancient Indian writing system, considered one of the earliest scripts of the Indian subcontinent and the ancestor of many modern South and Southeast Asian scripts.
-
B.
Bacopa monnieri
Bacopa monnieri is a creeping, water-loving herb widely used in traditional Ayurvedic medicine as a nootropic for enhancing memory and cognitive function.
-
C.
Haldi
Haldi is the chief war and national god of the ancient Kingdom of Urartu, central to its state religion and royal ideology.
-
D.
Malvan
Malvan is a coastal town in Maharashtra, India, known for its beaches, seafood cuisine, and historic Sindhudurg Fort.
-
E.
Senna
Senna is a critically acclaimed 2010 documentary film that chronicles the life, career, and tragic death of legendary Brazilian Formula One driver Ayrton Senna.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46cb56481908c2bc6648a12fbcf |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.