Triple
T16931814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Lankan monarchy |
E410727
|
entity |
| Predicate | foundationalLegend |
P115347
|
FINISHED |
| Object | arrival of Prince Vijaya |
—
|
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: arrival of Prince Vijaya | Statement: [Sri Lankan monarchy, foundationalLegend, arrival of Prince Vijaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundationalLegend Context triple: [Sri Lankan monarchy, foundationalLegend, arrival of Prince Vijaya]
-
A.
founderLegendary
chosen
Indicates that the subject is regarded as a legendary or mythic founder of the object, often in a traditional or semi-historical sense.
-
B.
bestKnownLegend
Indicates that one entity is the most prominent or widely recognized legendary story or myth associated with another entity.
-
C.
famousLegend
Indicates that the subject is widely known and celebrated in stories, myths, or folklore, often with enduring cultural significance.
-
D.
founderInTradition
Indicates that an entity is recognized as a founder or originator within a particular tradition, school, or lineage.
-
E.
associatedLegendaryFigure
Indicates that an entity is traditionally linked or connected to a particular legendary or mythological figure.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf25a6dc8190a2b9d9c4d2adc5fd |
completed | April 18, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.