Triple
T18540388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishta Devata |
E453082
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Devatā |
—
|
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: Devatā | Statement: [Ishta Devata, hasComponent, Devatā]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devatā Context triple: [Ishta Devata, hasComponent, Devatā]
-
A.
Deva
Deva is the Roman-era name for the ancient fortress and settlement that later became the modern English city of Chester.
-
B.
Deva
Deva is a prominent Indian film music composer best known for his prolific work in Tamil cinema during the 1990s and early 2000s.
-
C.
Deva
Deva is a city in western Romania known for its historic fortress and location near the Mureș River in Transylvania.
-
D.
Deva
chosen
Deva is a term in Indian religions referring to a divine being or god associated with cosmic order, virtue, and spiritual illumination.
-
E.
Ganadevata
Ganadevata is a Bengali film adaptation of Tarasankar Bandyopadhyay’s novel, known for its portrayal of rural society and featuring a prominent performance by Madhabi Mukherjee.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b64178819082861a03fd067095 |
completed | April 19, 2026, 8:01 p.m. |
Created at: April 10, 2026, 11:37 a.m.