Triple
T4513865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surya |
E102109
|
entity |
| Predicate | worshipBenefit |
P57116
|
FINISHED |
| Object | health and vitality |
—
|
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: health and vitality | Statement: [Surya, worshipBenefit, health and vitality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worshipBenefit Context triple: [Surya, worshipBenefit, health and vitality]
-
A.
worshipFocus
Indicates that one entity directs religious reverence, devotion, or adoration toward another as the primary object of worship.
-
B.
worship
Indicates a relationship where one entity shows reverence, adoration, or religious devotion toward another entity, often recognizing it as sacred or divine.
-
C.
worshipImplication
Indicates that one entity’s worship, reverence, or devotional behavior toward another implies or entails a particular belief, status, or relationship between them.
-
D.
worshipType
Indicates the manner or form in which worship is practiced or expressed in a religious or spiritual context.
-
E.
worshipScope
Indicates the range or extent within which worship, veneration, or religious devotion is directed or practiced.
- F. None of above. chosen
Provenance (4 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd572402f481908151f7899bc96306 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:02 p.m.