Triple
T22591128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindu pantheon |
E564951
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Prithvi |
—
|
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: Prithvi | Statement: [Hindu pantheon, hasDeity, Prithvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prithvi Context triple: [Hindu pantheon, hasDeity, Prithvi]
-
A.
Prithvi
Prithvi is a surface-to-surface short-range ballistic missile developed by India as part of its indigenous missile program.
-
B.
Bhuvan
Bhuvan is the determined village farmer and inspirational leader who rallies his fellow villagers to challenge British colonial officers in a high-stakes cricket match in the film "Lagaan."
-
C.
Karmabhumi
Karmabhumi is a celebrated Hindi novel by Premchand that explores themes of social justice, nationalism, and moral duty in pre-independence India.
-
D.
Maa
Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
-
E.
Maa
chosen
Maa is a revered Hindu mother goddess, often worshipped in her fierce and protective form as Sherawali, the lion-riding deity.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16160651081909d23735336fd7a16 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:48 p.m.