Triple
T31658715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dudukugala Nanne |
E807933
|
entity |
| Predicate | subjectTheme |
P81245
|
FINISHED |
| Object | devotion to Rama |
—
|
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: devotion to Rama | Statement: [Dudukugala Nanne, subjectTheme, devotion to Rama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectTheme Context triple: [Dudukugala Nanne, subjectTheme, devotion to Rama]
-
A.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
B.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
C.
subjectCategories
Indicates that an entity is associated with one or more subject-based categories or classifications.
-
D.
thematicConcept
chosen
Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
-
E.
titleSubjectOf
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 30, 2026, 10:56 p.m.