Triple
T13670984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Day of Peace |
E327746
|
entity |
| Predicate | mediumOfMessage |
P166
|
FINISHED |
| Object | papal message for the World Day of Peace |
—
|
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: papal message for the World Day of Peace | Statement: [World Day of Peace, mediumOfMessage, papal message for the World Day of Peace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfMessage Context triple: [World Day of Peace, mediumOfMessage, papal message for the World Day of Peace]
-
A.
commonMedium
Indicates that two or more entities share the same medium or channel through which interaction, communication, or transmission occurs.
-
B.
medium
chosen
Indicates that an entity serves as the means, channel, or intermediary through which an action, communication, or effect is carried out between other entities.
-
C.
mediumCategory
Indicates the classification of an item or content according to the type or form of medium it belongs to (e.g., print, digital, audio, video).
-
D.
subsequentMedium
Indicates that one medium or format follows another in a sequence, typically as a later or alternative form of the same content or communication.
-
E.
mediumDisplayed
Indicates that a particular medium (such as an image, video, or document) is being shown or rendered in a given context or interface.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.