Triple
T35005910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | پاک سرزمین شاد باد |
E1009807
|
entity |
| Predicate | literalMeaningOf_باد |
P92178
|
FINISHED |
| Object | may it be |
—
|
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: may it be | Statement: [پاک سرزمین شاد باد, literalMeaningOf_باد, may it be]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literalMeaningOf_باد Context triple: [پاک سرزمین شاد باد, literalMeaningOf_باد, may it be]
-
A.
b0Meaning
Indicates that something represents or conveys the semantic content or intended sense of another thing.
-
B.
b2Meaning
Indicates that one entity represents the underlying meaning, sense, or semantic content associated with another entity.
-
C.
basicMeaning
chosen
Indicates that one entity expresses or conveys the fundamental or core meaning of another entity.
-
D.
b1Meaning
Indicates that one entity represents the primary or first meaning or interpretation associated with another entity.
-
E.
doabaMeaning
Indicates that an entity has the specific meaning or semantic interpretation associated with the term "doaba."
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:01 p.m.