Triple
T17991419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1953 Philippine presidential election |
E430381
|
entity |
| Predicate | mediaUsedInCampaign |
P50715
|
FINISHED |
| Object | radio |
—
|
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: radio | Statement: [1953 Philippine presidential election, mediaUsedInCampaign, radio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaUsedInCampaign Context triple: [1953 Philippine presidential election, mediaUsedInCampaign, radio]
-
A.
mediaUse
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
B.
brandingMedium
chosen
Indicates the medium or channel through which branding or brand-related communication is delivered.
-
C.
mediaFeature
Indicates a characteristic, capability, or attribute of a media item that distinguishes how it is presented, functions, or is experienced.
-
D.
mediaExposure
Indicates the extent to which an entity is subjected to or receives attention from media channels such as television, radio, print, or online platforms.
-
E.
mediaMarket
Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29fd7648190b7f09ea60c7b96a8 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.