Triple
T6540781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SuperSport United F.C. |
E168280
|
entity |
| Predicate | mediaOwnerIndustry |
P59654
|
FINISHED |
| Object | sports broadcasting |
—
|
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: sports broadcasting | Statement: [SuperSport United F.C., mediaOwnerIndustry, sports broadcasting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaOwnerIndustry Context triple: [SuperSport United F.C., mediaOwnerIndustry, sports broadcasting]
-
A.
mediaOwner
chosen
Indicates that one entity owns, controls, or holds proprietary rights over a media asset or media-related resource associated with another entity.
-
B.
hasMediaIndustry
Indicates that an entity is involved in, associated with, or operates within the media industry.
-
C.
operatorIndustry
Indicates that an operator (such as a company or organization) is engaged in or associated with a particular industry sector.
-
D.
mediaInfluence
Indicates that one entity affects, shapes, or alters another entity’s attitudes, behaviors, or perceptions through media content or channels.
-
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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.