Triple
T38018542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiratana |
E948559
|
entity |
| Predicate | emphasizedInText |
P7250
|
FINISHED |
| Object | Pali Canon |
—
|
NE NERFINISHED |
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: Pali Canon | Statement: [Tiratana, emphasizedInText, Pali Canon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizedInText Context triple: [Tiratana, emphasizedInText, Pali Canon]
-
A.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
B.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
C.
notableText
chosen
Indicates that a particular piece of text is especially significant, prominent, or worthy of attention in relation to the associated entity or context.
-
D.
primaryTextUsed
Indicates that a particular text is the main or principal textual content used in relation to another entity or resource.
-
E.
primaryTextualFocus
Indicates that one entity is the main subject or central topic emphasized within the text of another entity.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.