Triple
T37636666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanniyaletto |
E936505
|
entity |
| Predicate | selfNameOf |
P1354
|
FINISHED |
| Object | indigenous Vedda people of Sri Lanka |
—
|
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: indigenous Vedda people of Sri Lanka | Statement: [Vanniyaletto, selfNameOf, indigenous Vedda people of Sri Lanka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selfNameOf Context triple: [Vanniyaletto, selfNameOf, indigenous Vedda people of Sri Lanka]
-
A.
nameOf
Indicates that one entity is the name or designation of another entity.
-
B.
commonNameOf
chosen
Indicates that one entity is the commonly used or popular name by which the other entity is known.
-
C.
importName
Indicates that one entity brings another entity into a scope, module, or context under a specific name used for reference.
-
D.
namesakeOfClass
Indicates that one entity serves as the person, place, or thing after which a particular class is named.
-
E.
exportName
Indicates that one entity is exported under a specific name or label in relation to another context or system.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.