Triple
T22610367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendet |
E566682
|
entity |
| Predicate | hasPropFunction |
P89218
|
FINISHED |
| Object | throwing flower petals to symbolize blessings |
—
|
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: throwing flower petals to symbolize blessings | Statement: [Pendet, hasPropFunction, throwing flower petals to symbolize blessings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPropFunction Context triple: [Pendet, hasPropFunction, throwing flower petals to symbolize blessings]
-
A.
haveProperty
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
-
B.
hasFunctionInLegends
Indicates that an entity serves a particular role, purpose, or activity within legendary stories, myths, or folklore.
-
C.
hasFunctionInPresent
Indicates that an entity currently performs, exhibits, or fulfills a specific function or role at the present time.
-
D.
hasPublicFunction
Indicates that an entity possesses a function or method that is publicly accessible or callable from outside its defining scope.
-
E.
hasFunctionInContext
chosen
Indicates that an entity serves a particular role or performs a specific function within a given context or situation.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e9245c81908e36ffcd16737a9d |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:56 p.m.