Triple
T653363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rally of Victory |
E11391
|
entity |
| Predicate | mediaTypeUsed |
P4793
|
FINISHED |
| Object | mass speeches |
—
|
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: mass speeches | Statement: [Rally of Victory, mediaTypeUsed, mass speeches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeUsed Context triple: [Rally of Victory, mediaTypeUsed, mass speeches]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
usedMedium
chosen
Indicates that an action or communication was carried out through a particular medium or channel.
-
C.
mediaOrigin
Indicates the original source or provenance from which a piece of media (such as an image, video, or audio) was derived or obtained.
-
D.
mediaAspect
Indicates the specific aspect ratio or dimensional proportion of a media item in relation to its width and height.
-
E.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4a660c8190b887cb4da01ef7ae |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.