Triple
T8564754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palani Murugan Temple |
E202775
|
entity |
| Predicate | PanchamirthamIngredients |
P40800
|
FINISHED |
| Object | banana |
—
|
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: banana | Statement: [Palani Murugan Temple, PanchamirthamIngredients, banana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PanchamirthamIngredients Context triple: [Palani Murugan Temple, PanchamirthamIngredients, banana]
-
A.
commonSpicesInPithla
Indicates that the specified items are spices typically used in preparing the dish pithla.
-
B.
PanchaBhootaElement
Indicates a relationship where something is associated with, classified as, or embodies one of the five fundamental Pancha Bhoota elements (earth, water, fire, air, or ether).
-
C.
coFormulatedWith
Indicates that one entity is formulated together with another as part of the same combined product or composition.
-
D.
milkComposition
Indicates the specific nutrients and components that make up a given sample of milk.
-
E.
ingredientType
chosen
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.