Triple
T198281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganges |
E4044
|
entity |
| Predicate | worshippedAs |
P8132
|
FINISHED |
| Object | goddess |
—
|
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: goddess | Statement: [Ganges, worshippedAs, goddess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worshippedAs Context triple: [Ganges, worshippedAs, goddess]
-
A.
worshippedIn
Indicates that a particular deity, figure, or object of reverence is the focus of religious or spiritual worship within a specified place or context.
-
B.
worshipsDeity
Indicates that one entity reveres, honors, or performs religious devotion toward another entity regarded as a deity.
-
C.
mainDeity
Indicates that one entity serves as the primary or chief deity worshiped, revered, or associated with another entity (such as a religion, temple, or culture).
-
D.
veneratedAt
Indicates that an entity is honored, revered, or worshipped at a particular place or institution.
-
E.
otherDeity
Indicates that one deity is distinct from and not identical to another deity within a given context or system.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.