Triple
T37747775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasi Viswanathar |
E940891
|
entity |
| Predicate | associatedWithOtherDeities |
P92870
|
FINISHED |
| Object | Visalakshi |
E946651
|
NE 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: Visalakshi | Statement: [Kasi Viswanathar, associatedWithOtherDeities, Visalakshi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOtherDeities Context triple: [Kasi Viswanathar, associatedWithOtherDeities, Visalakshi]
-
A.
closelyAssociatedDeity
Indicates a deity that is strongly connected or frequently linked to another entity, such as a person, place, object, or concept, through special association or significance.
-
B.
sharesDeitiesWith
Indicates that two entities have one or more deities in common within their respective religious or mythological systems.
-
C.
associatedGoddess
chosen
Indicates that one entity is recognized as the goddess traditionally linked or connected to another entity (such as a place, concept, or deity).
-
D.
associatedDeityOrForce
Indicates that one entity is linked to, represented by, or under the influence of a particular deity or supernatural force.
-
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.
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_69f76ee0e32c8190b40a3b4cf590337c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40e0799e9881909a9fcd1b470f0110 |
completed | June 28, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.