Triple
T17953209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samba Dashami |
E448881
|
entity |
| Predicate | prayersOfferedTo |
P44743
|
FINISHED |
| Object | Surya for curing ailments |
—
|
LITERAL 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: Surya for curing ailments | Statement: [Samba Dashami, prayersOfferedTo, Surya for curing ailments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prayersOfferedTo Context triple: [Samba Dashami, prayersOfferedTo, Surya for curing ailments]
-
A.
praysTo
chosen
Indicates that one entity directs a prayer, supplication, or act of worship toward another entity as its spiritual or divine recipient.
-
B.
praysAt
Indicates that one entity performs an act of prayer at, or directed toward, a specific place or site.
-
C.
worshipersOffer
Indicates that worshipers present or dedicate offerings to a deity, sacred figure, or religious object.
-
D.
prayedDuring
Indicates that one entity performed prayer at some time within the duration of another specified event or time interval.
-
E.
isOftenOfferedToDeity
Indicates that something is frequently presented or dedicated as an offering to a deity.
- F. None of above.
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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afae2aa081909a59a8cd4f1d04e1 |
completed | April 19, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.