Triple
T28021987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Full Disclosure |
E707711
|
entity |
| Predicate | hasMediaAspect |
P186360
|
FINISHED |
| Object | press-government relations |
—
|
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: press-government relations | Statement: [Full Disclosure, hasMediaAspect, press-government relations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaAspect Context triple: [Full Disclosure, hasMediaAspect, press-government relations]
-
A.
mediaAspect
Indicates the specific aspect ratio or dimensional proportion of a media item in relation to its width and height.
-
B.
spatialAspect
Indicates how something is positioned, oriented, or arranged in space relative to other entities or a reference frame.
-
C.
hasModernAspect
Indicates that something possesses characteristics, features, or qualities associated with modern or contemporary style, design, or thinking.
-
D.
aspectRatioRangeAllowed
Indicates that only images or media whose aspect ratios fall within a specified minimum-to-maximum range are permitted.
-
E.
hasMediaAppearanceIn
Indicates that an entity appears or is featured as media content within a specified media work, program, or publication.
- F. None of above. chosen
Provenance (4 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: April 27, 2026, 8:10 p.m.