Triple
T28130554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marudamalai |
E711052
|
entity |
| Predicate | belongsToDeityCategory |
P85058
|
FINISHED |
| Object | war god Murugan |
—
|
NE NERFINISHED |
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: war god Murugan | Statement: [Marudamalai, belongsToDeityCategory, war god Murugan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToDeityCategory Context triple: [Marudamalai, belongsToDeityCategory, war god Murugan]
-
A.
hasDeityGroup
Indicates a relationship where an entity is associated with, or belongs to, a particular group or pantheon of deities.
-
B.
appliesToDeityIn
Indicates that something (such as a rule, attribute, or statement) is relevant or applicable to a deity within a specified context or domain.
-
C.
hasComponentDeity
Indicates that an entity (such as a religion, mythology, or pantheon) includes a particular deity as one of its constituent or associated divine figures.
-
D.
deityCategory
chosen
Indicates that one entity is classified as belonging to a particular category or type of deity in relation to another entity.
-
E.
representsDeity
Indicates that one entity serves as a symbolic, artistic, or conceptual depiction of a deity associated with another entity.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 27, 2026, 9:22 p.m.