Triple
T33312823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parthasarathy |
E852932
|
entity |
| Predicate | hasOriginInReligionOrTradition |
P22741
|
FINISHED |
| Object | Hindu tradition |
—
|
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: Hindu tradition | Statement: [Parthasarathy, hasOriginInReligionOrTradition, Hindu tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginInReligionOrTradition Context triple: [Parthasarathy, hasOriginInReligionOrTradition, Hindu tradition]
-
A.
hasReligiousOrigin
chosen
Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
-
B.
partOfReligiousTradition
Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
-
C.
isUsedByReligion
Indicates that something (such as an object, practice, text, or symbol) is employed or utilized within the context of a particular religion.
-
D.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
E.
religionAccordingToTradition
Indicates that an entity’s religion is identified or classified according to a particular tradition or customary understanding, rather than strictly formal or official criteria.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 1, 2026, 1:33 a.m.