Triple
T28653204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | සීලෝන් රජය |
E725255
|
entity |
| Predicate | usedNameInSinhala |
P33803
|
FINISHED |
| Object | සීලෝන් රජය |
—
|
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: සීලෝන් රජය | Statement: [සීලෝන් රජය, usedNameInSinhala, සීලෝන් රජය]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedNameInSinhala Context triple: [සීලෝන් රජය, usedNameInSinhala, සීලෝන් රජය]
-
A.
nameInSinhala
chosen
Indicates that an entity’s name is expressed or recorded in the Sinhala language.
-
B.
usesNameForm
Indicates that one entity adopts or applies a particular standardized form or variant of a name associated with another entity.
-
C.
usesNameDueTo
Indicates that one entity adopts or applies a particular name for another entity specifically because of some motivating reason, circumstance, or dependency.
-
D.
nameInTamil
Indicates that an entity’s name is expressed or written in the Tamil language.
-
E.
nameUsedIn
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:53 a.m.