Triple
T27697323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meenakshi shrine |
E698332
|
entity |
| Predicate | materialOfMainIcon |
P1272
|
FINISHED |
| Object | stone murti |
—
|
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: stone murti | Statement: [Meenakshi shrine, materialOfMainIcon, stone murti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialOfMainIcon Context triple: [Meenakshi shrine, materialOfMainIcon, stone murti]
-
A.
iconOf
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
-
B.
badgeMaterial
Indicates the material from which a badge is made.
-
C.
primaryMaterialOnDisplay
Indicates that a material is the main or dominant substance featured in the visible presentation or display of an object or item.
-
D.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
E.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 2:55 p.m.