Triple
T19730590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National War Memorial, New Delhi |
E473840
|
entity |
| Predicate | symbolismOfRakshakChakra |
P73239
|
FINISHED |
| Object | circle of protection |
—
|
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: circle of protection | Statement: [National War Memorial, New Delhi, symbolismOfRakshakChakra, circle of protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolismOfRakshakChakra Context triple: [National War Memorial, New Delhi, symbolismOfRakshakChakra, circle of protection]
-
A.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
-
B.
flagDesignSymbolism
Indicates the symbolic meanings or concepts represented by elements in a flag’s design.
-
C.
symbolismOfRedLanterns
Indicates the cultural or contextual meanings and associations conveyed by the presence or use of red lanterns.
-
D.
religiousSymbolOnFlag
Indicates that a flag features a symbol associated with a religion as part of its design.
-
E.
shapeSymbolism
chosen
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fbeaf081909e9356229eaf84dd |
completed | April 20, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.