Triple
T36067806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radala |
E1043279
|
entity |
| Predicate | socialDistinction |
P3450
|
FINISHED |
| Object | separate from low-country Sinhalese elites |
—
|
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: separate from low-country Sinhalese elites | Statement: [Radala, socialDistinction, separate from low-country Sinhalese elites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialDistinction Context triple: [Radala, socialDistinction, separate from low-country Sinhalese elites]
-
A.
socialClassContrastWith
Indicates a contrast or difference between the social classes or social standings associated with two entities.
-
B.
uniformDistinction
Indicates that a clear and consistent difference is maintained between two or more entities within a given context.
-
C.
distinction
chosen
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
D.
socialOrientation
Indicates the nature or direction of an entity’s social tendencies, such as how it typically relates to, interacts with, or aligns itself within social contexts or groups.
-
E.
categoryDistinguishedFrom
Indicates that one category is explicitly distinguished from another, clarifying that they are separate and should not be confused.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:08 p.m.