Triple
T29540145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | கோவலன் |
E749468
|
entity |
| Predicate | moralLessonDerivedFrom |
P60875
|
FINISHED |
| Object | தவறான தீர்ப்பின் பேரழிவு |
—
|
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: தவறான தீர்ப்பின் பேரழிவு | Statement: [கோவலன், moralLessonDerivedFrom, தவறான தீர்ப்பின் பேரழிவு]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralLessonDerivedFrom Context triple: [கோவலன், moralLessonDerivedFrom, தவறான தீர்ப்பின் பேரழிவு]
-
A.
moralOfMyth
chosen
Indicates the underlying lesson, ethical teaching, or message conveyed by a myth.
-
B.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
C.
hasMoralMessage
Indicates that something conveys or embodies a lesson, value, or guidance about what is right or wrong behavior.
-
D.
moralExemplarOf
Indicates that one entity serves as a model or standard of moral behavior for another entity or group.
-
E.
moralTheme
Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
- 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 5:02 p.m.