Triple
T2518901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinhalese people |
E55475
|
entity |
| Predicate | originMyth |
P40749
|
FINISHED |
| Object | Vijaya legend |
—
|
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: Vijaya legend | Statement: [Sinhalese people, originMyth, Vijaya legend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originMyth Context triple: [Sinhalese people, originMyth, Vijaya legend]
-
A.
eraOfMyth
Indicates a temporal relationship where an event, story, or phenomenon belongs to or takes place during a mythological or legendary era.
-
B.
mythologicalGeneration
Indicates a generational relationship in mythology, where one mythological being or group descends from or follows another in a lineage or succession.
-
C.
mythologicalEvent
Indicates an event or occurrence that takes place within mythological narratives or traditions, often involving gods, heroes, or supernatural phenomena.
-
D.
languageOfMyths
Indicates that the subject is the language in which the myths associated with the object are told or recorded.
-
E.
mythologicalRole
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
- F. None of above. chosen
Provenance (4 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0bf37c0819088d28b5081ba7556 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd5a1cd508190a660b9a3c6b7cbcb |
completed | March 7, 2026, 7:37 a.m. |
Created at: March 6, 2026, 9:46 p.m.